In one aspect, a computer-implemented method for executing an artificial intelligence (AI) engine, including executing a categorization model configured to categorize, into categories, vehicles based on factors comprising age, temperature conditions, usage patterns, battery health metrics, or some combination thereof, executing a behavior analysis model configured to analyze behavior of the vehicles in each of the categories to identify battery performance metrics including charging habits, discharge rates, charge rates, state of charge, state of health, state of power, or some combination thereof, executing a recommendation generation model configured to generate, based on the battery performance metrics, recommendations for enhancing battery management strategies, wherein the recommendation generation model accounts for a current state of a vehicle to suggest actions to improve battery health; and executing a battery model configured to determine power and energy consumption based on the recommendations generated by the recommendation generation model.
In one aspect, a computer-implemented method may include receiving, at a cloud-based computing system, historical data comprising (i) battery charging profiles associated with a fleet of vehicles comprising battery packs, (ii) geographical climate information associated with the fleet of vehicles, (iii) lithium plating prediction results associated with the fleet, or (iv) some combination thereof. The method includes training, using the historical data, lithium plating prediction models to predict a likelihood of occurrence of lithium plating for a battery pack, receiving, from an edge processor communicatively coupled to a battery pack, battery pack charging data, determining, using the models based on the battery pack charging data, the likelihood of occurrence, based on the likelihood of occurrence, modifying a battery charging policy for the battery pack, and transmitting the battery charging policy to cause the edge processor to control charging of the battery pack.
In one aspect, while a battery pack is charging, a computer-implemented method may include predicting an anode potential of the battery pack, and determining whether the anode potential satisfies a threshold condition. Responsive to determining that the anode potential satisfies the threshold condition, the method may include modifying a charging policy of a battery pack to adjust an anode potential offset, and controlling, based on the charging policy, charging of the battery pack to adjust the anode potential offset.
In one aspect, a computer-implemented may include receiving, from sensors, measurements comprising battery cell voltage, current, temperature, or some combination thereof. The method may include determining, via first computer-implemented models using the measurements, a state of charge prediction, wherein the first computer-implemented models are initially trained to determine the state of charge prediction using a first training dataset comprising data pertaining to a plurality of battery cells and are additionally trained to determine the state of charge prediction using a second training dataset comprising data pertaining to a target battery cell. The method may include transmitting parameters of the first computer-implemented models to an edge processing device to cause the edge processing device to execute at least a portion of the first computer-implemented models to predict the state of charge prediction and to display the state of charge prediction on a user interface.
G01R 31/388 - Détermination de la capacité ampère-heure ou de l’état de charge faisant intervenir des mesures de tension
G01R 31/367 - Logiciels à cet effet, p. ex. pour le test des batteries en utilisant une modélisation ou des tables de correspondance
G01R 31/374 - Dispositions pour le test, la mesure ou la surveillance de l’état électrique d’accumulateurs ou de batteries, p. ex. de la capacité ou de l’état de charge avec des moyens pour corriger la mesure en fonction de la température ou du vieillissement
5.
Systems and methods of dynamic adaptive fast charging in batteries to reduce lithium plating
In one aspect, a computer-implemented method may include determining whether an anode potential offset of a battery pack has reached an upper threshold of a target range, responsive to determining that the anode potential offset of the battery pack has reached the upper threshold of the target range, receiving tear-down data associated with the battery pack, training, based on the tear-down data associated with the battery pack, cloud prediction models that are trained to predict a likelihood of occurrence of lithium plating associated with battery packs, and transmitting, to edge processors of fleet vehicles, parameters associated with the trained prediction models to cause the edge processors to train edge prediction models using the edge processors, wherein the edge processors modify a battery charging policy based on a prediction from the edge prediction models.
In one aspect, a computer-implemented method for executing an artificial intelligence (AI) engine, including executing a categorization model configured to categorize, into categories, vehicles based on factors comprising age, temperature conditions, usage patterns, battery health metrics, or some combination thereof, executing a behavior analysis model configured to analyze behavior of the vehicles in each of the categories to identify battery performance metrics including charging habits, discharge rates, charge rates, state of charge, state of health, state of power, or some combination thereof, executing a recommendation generation model configured to generate, based on the battery performance metrics, recommendations for enhancing battery management strategies, wherein the recommendation generation model accounts for a current state of a vehicle to suggest actions to improve battery health; and executing a battery model configured to determine power and energy consumption based on the recommendations generated by the recommendation generation model.
In one aspect, a computer-implemented method may include receiving charge cycle data pertaining to a battery pack. The method may include determining, based on the charge cycle data, whether a noise level of a battery management system exceeds a first threshold. In response to determining the noise level exceeds the first threshold, the method may include determining an initial state of charge of the battery pack using coulomb counting by reversing the charge cycle data. In response to determining the noise level does not exceed the first threshold, the method may include determining whether a rest time before charge cycle exceeds a second threshold. In response to determining the rest time before charge cycle does not exceed the second threshold, the method may include determining the initial state of charge of the battery pack using coulomb counting by reversing the charge cycle data.
G01R 31/3828 - Dispositions pour la surveillance de variables des batteries ou des accumulateurs, p. ex. état de charge utilisant l’intégration du courant
H02J 7/00 - Circuits pour la charge ou la dépolarisation des batteries ou pour alimenter des charges par des batteries
8.
Systems and methods for state of health assessment in rechargeable batteries
In one aspect, based on at least a received first state of health of a battery pack and an initial state of charge of the battery pack, a method may include determining, by a state of charge estimator of a digital twin battery model, states of charges for the battery pack. Based on the states of charges for the battery pack, the method may include determining, by a voltage predictor of the digital twin battery model, predicted battery voltages. Based on the predicted battery voltages, the method may include determining, by a state of charge corrector of the digital twin battery model, a voltage difference between the predicted battery voltages and measured voltages. Based on the voltage difference, the method may include correcting, by the state of charge corrector, the states of charges to generate corrected states of charges for the battery pack.
G01R 31/374 - Dispositions pour le test, la mesure ou la surveillance de l’état électrique d’accumulateurs ou de batteries, p. ex. de la capacité ou de l’état de charge avec des moyens pour corriger la mesure en fonction de la température ou du vieillissement
G01R 31/36 - Dispositions pour le test, la mesure ou la surveillance de l’état électrique d’accumulateurs ou de batteries, p. ex. de la capacité ou de l’état de charge
G01R 31/367 - Logiciels à cet effet, p. ex. pour le test des batteries en utilisant une modélisation ou des tables de correspondance
G01R 31/389 - Mesure de l’impédance interne, de la conductance interne ou des variables similaires
G01R 31/392 - Détermination du vieillissement ou de la dégradation de la batterie, p. ex. état de santé
9.
Systems and methods of dynamic adaptive fast charging in batteries to reduce lithium plating
In one aspect, while a battery pack is charging, a computer-implemented method may include predicting an anode potential of the battery pack, and determining whether the anode potential satisfies a threshold condition. Responsive to determining that the anode potential satisfies the threshold condition, the method may include modifying a charging policy of a battery pack to adjust an anode potential offset, and controlling, based on the charging policy, charging of the battery pack to adjust the anode potential offset.
G05B 13/00 - Systèmes de commande adaptatifs, c.-à-d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé
B60L 53/68 - Surveillance ou commande hors site, p. ex. télécommande
G01R 29/24 - Dispositions pour mesurer des quantités de charge
G01R 31/392 - Détermination du vieillissement ou de la dégradation de la batterie, p. ex. état de santé
In one aspect, computer-implemented method may include receiving, from one or more sensors associated with a battery pack, one or more measurements pertaining to voltage, temperature, or both. The method may include determining, based on the one or more measurements, a voltage score and a temperature score, and predicting, based on the voltage score and the temperature score, whether the battery pack is experiencing a fault condition. The prediction is performed by an artificial intelligence engine. Responsive to predicting the battery pack is experiencing the fault condition, the method may include performing one or more preventative actions.
G01R 31/392 - Détermination du vieillissement ou de la dégradation de la batterie, p. ex. état de santé
G01R 31/396 - Acquisition ou traitement de données pour le test ou la surveillance d’éléments particuliers ou de groupes particuliers d’éléments dans une batterie
11.
SYSTEMS AND METHODS MACHINE LEARNING ENABLED FAULT DETECTION IN RECHARGEABLE BATTERIES
In one aspect, computer-implemented method may include receiving, from one or more sensors associated with a battery pack, one or more measurements pertaining to voltage, temperature, or both. The method may include transforming the one or more measurements into a time-series sequential window format, determining, based on the time-series sequential window format of the one or more measurements, a voltage score and a temperature score, and predicting, based on the voltage score and the temperature score, whether the battery pack is experiencing a fault condition. The prediction is performed by one or more trained machine learning models. Responsive to predicting the battery pack is experiencing the fault condition, the method may include performing one or more preventative actions.
G01R 31/392 - Détermination du vieillissement ou de la dégradation de la batterie, p. ex. état de santé
G01R 31/396 - Acquisition ou traitement de données pour le test ou la surveillance d’éléments particuliers ou de groupes particuliers d’éléments dans une batterie
12.
System and Method for Using Artificial Intelligence to Detect Lithium Plating
In one aspect, computer-implemented method may include, while a battery pack is charging, receiving, from sensors, measurements associated with the battery pack. The battery pack includes cells. The method may include separating the measurements into separate profiles for the cells, wherein the separate profiles include data pertaining to current, voltage, temperature, or some combination thereof. The method may include identifying, using the separate profiles, features, generating a training dataset by reducing the features based on a mean-comparison technique, a minority scaling technique, or both, and generating a trained machine learning model using the training dataset including the reduced features as labeled input and true lithium plating occurrence statuses as labeled output. The method may include predicting, using the trained machine learning model, an occurrence of lithium plating by inputting subsequently received data into the trained machine learning model.
B60L 58/16 - Procédés ou agencements de circuits pour surveiller ou commander des batteries ou des piles à combustible, spécialement adaptés pour des véhicules électriques pour la surveillance et la commande des batteries en fonction du vieillissement de la batterie, p. ex. du nombre de cycles de charge ou de l'état de santé [SoH]
G01R 31/367 - Logiciels à cet effet, p. ex. pour le test des batteries en utilisant une modélisation ou des tables de correspondance
G01R 31/396 - Acquisition ou traitement de données pour le test ou la surveillance d’éléments particuliers ou de groupes particuliers d’éléments dans une batterie
G06N 5/022 - Ingénierie de la connaissanceAcquisition de la connaissance
In one aspect, computer-implemented method may include receiving, from one or more sensors associated with a battery pack, one or more measurements pertaining to voltage, temperature, or both. The method may include transforming the one or more measurements into a time-series sequential window format, determining, based on the time-series sequential window format of the one or more measurements, a voltage score and a temperature score, and predicting, based on the voltage score and the temperature score, whether the battery pack is experiencing a fault condition. The prediction is performed by one or more trained machine learning models. Responsive to predicting the battery pack is experiencing the fault condition, the method may include performing one or more preventative actions.
In one aspect, computer-implemented method may include receiving, at a cloud-based computing system, a set of measurements over a certain period of time. The set of measurements are received from a set of vehicles and pertain to voltages and temperatures of a set of battery packs associated with the set of vehicles. The method may include training, using the set of measurements, one or more machine learning models to predict a battery pack fault condition. The one or more machine learning models include a set of parameters that are modified during the training. The method may include transmitting the set of parameters to the set of vehicles to enable the set of vehicles to update, based on the set of parameters, one or more respective in-vehicle machine learning models configured to predict the battery pack fault condition.
B60L 58/24 - Procédés ou agencements de circuits pour surveiller ou commander des batteries ou des piles à combustible, spécialement adaptés pour des véhicules électriques pour la surveillance et la commande des batteries pour la commande de la température des batteries
In one aspect, a method may include generating an aging battery dataset including information pertaining to age histories of electric vehicles, cell manufacturer specifications, and laboratory tests. Based on the information and battery health metrics associated with battery pack modules, the method may include predicting a first state of health of the battery pack modules. The method may include receiving a second state of health of the battery pack modules, wherein the second state of health is determined based on determined states of charges for the battery pack modules. The method may include determining an uncertainty for the second state of health using a rest duration after and before charging of the battery pack modules. Based on the uncertainty, the first state of health, and the second state of health, the method may include determining a confidence score for the second state of health of the battery pack modules.
G01R 31/392 - Détermination du vieillissement ou de la dégradation de la batterie, p. ex. état de santé
G01R 31/367 - Logiciels à cet effet, p. ex. pour le test des batteries en utilisant une modélisation ou des tables de correspondance
G01R 31/3828 - Dispositions pour la surveillance de variables des batteries ou des accumulateurs, p. ex. état de charge utilisant l’intégration du courant
G01R 31/3842 - Dispositions pour la surveillance de variables des batteries ou des accumulateurs, p. ex. état de charge combinant des mesures de tension et de courant
16.
SYSTEMS AND METHODS FOR USING ARTIFICIAL INTELLIGENCE TO DETECT LITHIUM PLATING
In one aspect, computer-implemented method may include receiving, from a cloud-based computing system (116), one or more machine learning model parameters that are configured to enable predicting a remaining useful life of each cell of a battery pack (118) of a vehicle (117). The method may include loading, into memory of a processing device at the vehicle (117), the one or more machine learning model parameters, receiving data comprising one or more measurements and one or more user battery usage profiles, and based on the data, executing a trained machine learning model (132) with the one or more parameters to input the data and to output the remaining useful life of each cell of the battery pack (118).
B60L 3/00 - Dispositifs électriques de sécurité sur véhicules propulsés électriquementContrôle des paramètres de fonctionnement, p. ex. de la vitesse, de la décélération ou de la consommation d’énergie
B60L 3/12 - Enregistrement des paramètres de fonctionnement
B60L 50/64 - Détails de construction des batteries spécialement adaptées aux véhicules électriques
B60L 58/16 - Procédés ou agencements de circuits pour surveiller ou commander des batteries ou des piles à combustible, spécialement adaptés pour des véhicules électriques pour la surveillance et la commande des batteries en fonction du vieillissement de la batterie, p. ex. du nombre de cycles de charge ou de l'état de santé [SoH]
H01M 4/133 - Électrodes à base de matériau carboné, p. ex. composés d'intercalation du graphite ou CFx
H01M 10/0525 - Batteries du type "rocking chair" ou "fauteuil à bascule", p. ex. batteries à insertion ou intercalation de lithium dans les deux électrodesBatteries à l'ion lithium
H01M 10/48 - Accumulateurs combinés à des dispositions pour mesurer, tester ou indiquer l'état des éléments, p. ex. le niveau ou la densité de l'électrolyte
In one aspect, a computer-implemented method may include receiving charge cycle data pertaining to a battery pack. The method may include determining, based on the charge cycle data, whether a noise level of a battery management system exceeds a first threshold. In response to determining the noise level exceeds the first threshold, the method may include determining an initial state of charge of the battery pack using coulomb counting by reversing the charge cycle data. In response to determining the noise level does not exceed the first threshold, the method may include determining whether a rest time before charge cycle exceeds a second threshold. In response to determining the rest time before charge cycle does not exceed the second threshold, the method may include determining the initial state of charge of the battery pack using coulomb counting by reversing the charge cycle data.
In one aspect, computer-implemented method may include receiving, from computing devices, fleet data pertaining to battery packs each including first cells. The fleet data includes false positive images of lithium plating affecting at least a first cell, true positive images of the lithium plating affecting at least a second cell, or both. The method may include training, using at least the fleet data, machine learning models to predict occurrences of the lithium plating, receiving, from sensors associated with second cells, measurements pertaining to current, voltage, temperature, or some combination thereof, and inputting the measurements into the machine learning models to predict the occurrences of the lithium plating for the second cells.
In one aspect, computer-implemented method may include receiving, from a cloud-based computing system, one or more machine learning model parameters that are configured to enable predicting a remaining useful life of each cell of a battery pack of a vehicle. The method may include loading, into memory of a processing device at the vehicle, the one or more machine learning model parameters, receiving data comprising one or more measurements and one or more user battery usage profiles, and based on the data, executing a trained machine learning model with the one or more parameters to input the data and to output the remaining useful life of each cell of the battery pack.
B60L 58/16 - Procédés ou agencements de circuits pour surveiller ou commander des batteries ou des piles à combustible, spécialement adaptés pour des véhicules électriques pour la surveillance et la commande des batteries en fonction du vieillissement de la batterie, p. ex. du nombre de cycles de charge ou de l'état de santé [SoH]
G06Q 10/30 - Administration du recyclage ou de l’élimination des produits
20.
SYSTEMS AND METHODS FOR PREDICTING REMAINING USEFUL LIFE IN BATTERIES AND ASSETS
In one aspect, a method comprises receiving first data pertaining to a battery pack of a vehicle, wherein the first data is received from sensors associated with the vehicle, and the first data pertains to a battery pack current, a cell voltage, a cell current, a cell temperature, or some combination thereof; receiving second data pertaining to simulation of the battery pack; receiving third data from a manufacturer; receiving historical data on a fleet of vehicles that use the battery pack; predicting a remaining useful life of the battery pack of the vehicle by using a hybrid model comprising a physics-based model that receives the based on the first, second, third, and historical data, and generates properties pertaining to the battery pack; a machine learning model that uses the properties to predict the remaining useful life of each cell of the battery pack; and transmitting the remaining useful life.
B60L 3/12 - Enregistrement des paramètres de fonctionnement
B60L 58/12 - Procédés ou agencements de circuits pour surveiller ou commander des batteries ou des piles à combustible, spécialement adaptés pour des véhicules électriques pour la surveillance et la commande des batteries en fonction de l'état de charge [SoC]
B60L 58/16 - Procédés ou agencements de circuits pour surveiller ou commander des batteries ou des piles à combustible, spécialement adaptés pour des véhicules électriques pour la surveillance et la commande des batteries en fonction du vieillissement de la batterie, p. ex. du nombre de cycles de charge ou de l'état de santé [SoH]
21.
Systems and methods for predicting remaining useful life in batteries and assets
In one aspect, a computer-implemented method for a cloud-based computing system may include receiving data pertaining to a battery pack of a vehicle, wherein the data is measured by one or more sensors associated with the vehicle. The method may include determining, based on the data, whether a threshold is satisfied, wherein the threshold relates to a physics-based model estimated terminal voltage. Responsive to determining the threshold is satisfied, the method may include determining a trigger event has occurred and calibrate one or more parameters of the physics-based model, a machine learning model, or both.
H01M 10/48 - Accumulateurs combinés à des dispositions pour mesurer, tester ou indiquer l'état des éléments, p. ex. le niveau ou la densité de l'électrolyte
B60L 58/16 - Procédés ou agencements de circuits pour surveiller ou commander des batteries ou des piles à combustible, spécialement adaptés pour des véhicules électriques pour la surveillance et la commande des batteries en fonction du vieillissement de la batterie, p. ex. du nombre de cycles de charge ou de l'état de santé [SoH]
G01R 31/367 - Logiciels à cet effet, p. ex. pour le test des batteries en utilisant une modélisation ou des tables de correspondance
G01R 31/3842 - Dispositions pour la surveillance de variables des batteries ou des accumulateurs, p. ex. état de charge combinant des mesures de tension et de courant
G01R 31/392 - Détermination du vieillissement ou de la dégradation de la batterie, p. ex. état de santé
G01R 31/396 - Acquisition ou traitement de données pour le test ou la surveillance d’éléments particuliers ou de groupes particuliers d’éléments dans une batterie
G07C 5/04 - Enregistrement ou indication du temps de circulation, de fonctionnement, d'arrêt ou d'attente uniquement utilisant des moyens de comptage ou compteurs à horloge
22.
Systems and methods for predicting remaining useful life in batteries and assets
In one aspect, a method comprises receiving first data pertaining to a battery pack of a vehicle, wherein the first data is received from sensors associated with the vehicle, and the first data pertains to a battery pack current, a cell voltage, a cell current, a cell temperature, or some combination thereof; predicting a remaining useful life of the battery pack of the vehicle by using a hybrid model comprising a physics-based model that receives the first and generates properties pertaining to the battery pack; a machine learning model that uses the properties to predict the remaining useful life of each cell of the battery pack; and transmitting the remaining useful life for presentation.
H01M 10/48 - Accumulateurs combinés à des dispositions pour mesurer, tester ou indiquer l'état des éléments, p. ex. le niveau ou la densité de l'électrolyte
B60L 58/16 - Procédés ou agencements de circuits pour surveiller ou commander des batteries ou des piles à combustible, spécialement adaptés pour des véhicules électriques pour la surveillance et la commande des batteries en fonction du vieillissement de la batterie, p. ex. du nombre de cycles de charge ou de l'état de santé [SoH]
G01R 31/367 - Logiciels à cet effet, p. ex. pour le test des batteries en utilisant une modélisation ou des tables de correspondance
G01R 31/3842 - Dispositions pour la surveillance de variables des batteries ou des accumulateurs, p. ex. état de charge combinant des mesures de tension et de courant
G01R 31/392 - Détermination du vieillissement ou de la dégradation de la batterie, p. ex. état de santé
G01R 31/396 - Acquisition ou traitement de données pour le test ou la surveillance d’éléments particuliers ou de groupes particuliers d’éléments dans une batterie
G07C 5/04 - Enregistrement ou indication du temps de circulation, de fonctionnement, d'arrêt ou d'attente uniquement utilisant des moyens de comptage ou compteurs à horloge
23.
Systems and methods for predicting remaining useful life in batteries and assets
In one aspect, computer-implemented method may include receiving, from a cloud-based computing system, one or more machine learning model parameters that are configured to enable predicting a remaining useful life of each cell of a battery pack of a vehicle. The method may include loading, into memory of a processing device at the vehicle, the one or more machine learning model parameters, receiving data comprising one or more measurements and one or more user battery usage profiles, and based on the data, executing a trained machine learning model with the one or more parameters to input the data and to output the remaining useful life of each cell of the battery pack.
H01M 10/48 - Accumulateurs combinés à des dispositions pour mesurer, tester ou indiquer l'état des éléments, p. ex. le niveau ou la densité de l'électrolyte
B60L 58/16 - Procédés ou agencements de circuits pour surveiller ou commander des batteries ou des piles à combustible, spécialement adaptés pour des véhicules électriques pour la surveillance et la commande des batteries en fonction du vieillissement de la batterie, p. ex. du nombre de cycles de charge ou de l'état de santé [SoH]
G01R 31/367 - Logiciels à cet effet, p. ex. pour le test des batteries en utilisant une modélisation ou des tables de correspondance
G01R 31/396 - Acquisition ou traitement de données pour le test ou la surveillance d’éléments particuliers ou de groupes particuliers d’éléments dans une batterie
G01R 31/392 - Détermination du vieillissement ou de la dégradation de la batterie, p. ex. état de santé
G07C 5/04 - Enregistrement ou indication du temps de circulation, de fonctionnement, d'arrêt ou d'attente uniquement utilisant des moyens de comptage ou compteurs à horloge
G01R 31/3842 - Dispositions pour la surveillance de variables des batteries ou des accumulateurs, p. ex. état de charge combinant des mesures de tension et de courant
24.
Systems and methods for predicting remaining useful life in batteries and assets
In one aspect, a computer-implemented method for a cloud-based computing system may include receiving data pertaining to a battery pack of a vehicle, wherein the data is measured by one or more sensors associated with the vehicle. The method may include determining, based on the data, whether a sum of a physics-based model estimated terminal voltage minus an actual voltage of the battery pack satisfies a threshold. Responsive to determining the threshold is satisfied, the method may include determining a trigger event has occurred and calibrate one or more parameters of the physics-based model, a machine learning model, or both, wherein the physics-based model outputs one or more properties pertaining to the battery pack of the vehicle, and the machine learning model uses the one or more properties to predict a remaining useful life of each cell of the battery pack.
H01M 10/48 - Accumulateurs combinés à des dispositions pour mesurer, tester ou indiquer l'état des éléments, p. ex. le niveau ou la densité de l'électrolyte
B60L 58/16 - Procédés ou agencements de circuits pour surveiller ou commander des batteries ou des piles à combustible, spécialement adaptés pour des véhicules électriques pour la surveillance et la commande des batteries en fonction du vieillissement de la batterie, p. ex. du nombre de cycles de charge ou de l'état de santé [SoH]
G01R 31/367 - Logiciels à cet effet, p. ex. pour le test des batteries en utilisant une modélisation ou des tables de correspondance
G01R 31/396 - Acquisition ou traitement de données pour le test ou la surveillance d’éléments particuliers ou de groupes particuliers d’éléments dans une batterie
G01R 31/392 - Détermination du vieillissement ou de la dégradation de la batterie, p. ex. état de santé
G07C 5/04 - Enregistrement ou indication du temps de circulation, de fonctionnement, d'arrêt ou d'attente uniquement utilisant des moyens de comptage ou compteurs à horloge
G01R 31/3842 - Dispositions pour la surveillance de variables des batteries ou des accumulateurs, p. ex. état de charge combinant des mesures de tension et de courant
25.
Systems and methods for predicting remaining useful life in batteries and assets
In one aspect, a method for a cloud-based computing system may include training, using test data, machine learning models to predict a remaining useful life of each cell of a battery pack of a vehicle. The method may include using a rule-based evaluator to determine first scores for the machine learning models, using a machine learning based metric evaluator to determine second scores for the machine learning models, using a model selection inference engine to select, based on the first and second scores for the machine learning models, a machine learning model to use to predict the remaining useful life of each cell of the battery pack of the vehicle, and transmitting, to a processing device of the vehicle, the selected machine learning model and parameters to predict the remaining useful life of each cell of the battery pack of the vehicle.
H01M 10/48 - Accumulateurs combinés à des dispositions pour mesurer, tester ou indiquer l'état des éléments, p. ex. le niveau ou la densité de l'électrolyte
B60L 58/16 - Procédés ou agencements de circuits pour surveiller ou commander des batteries ou des piles à combustible, spécialement adaptés pour des véhicules électriques pour la surveillance et la commande des batteries en fonction du vieillissement de la batterie, p. ex. du nombre de cycles de charge ou de l'état de santé [SoH]
G01R 31/367 - Logiciels à cet effet, p. ex. pour le test des batteries en utilisant une modélisation ou des tables de correspondance
G01R 31/396 - Acquisition ou traitement de données pour le test ou la surveillance d’éléments particuliers ou de groupes particuliers d’éléments dans une batterie
G01R 31/392 - Détermination du vieillissement ou de la dégradation de la batterie, p. ex. état de santé
G07C 5/04 - Enregistrement ou indication du temps de circulation, de fonctionnement, d'arrêt ou d'attente uniquement utilisant des moyens de comptage ou compteurs à horloge
G01R 31/3842 - Dispositions pour la surveillance de variables des batteries ou des accumulateurs, p. ex. état de charge combinant des mesures de tension et de courant
26.
Systems and methods for predicting remaining useful life in batteries and assets
In one aspect, a method comprises receiving first data pertaining to a battery pack of a vehicle, wherein the first data is received from sensors associated with the vehicle, and the first data pertains to a battery pack current, a cell voltage, a cell current, a cell temperature, or some combination thereof; receiving second data pertaining to simulation of the battery pack; receiving third data from a manufacturer; receiving historical data on a fleet of vehicles that use the battery pack; predicting a remaining useful life of the battery pack of the vehicle by using a hybrid model comprising a physics-based model that receives the based on the first, second, third, and historical data, and generates properties pertaining to the battery pack; a machine learning model that uses the properties to predict the remaining useful life of each cell of the battery pack; and transmitting the remaining useful life.
H01M 10/48 - Accumulateurs combinés à des dispositions pour mesurer, tester ou indiquer l'état des éléments, p. ex. le niveau ou la densité de l'électrolyte
G07C 5/04 - Enregistrement ou indication du temps de circulation, de fonctionnement, d'arrêt ou d'attente uniquement utilisant des moyens de comptage ou compteurs à horloge
B60L 58/16 - Procédés ou agencements de circuits pour surveiller ou commander des batteries ou des piles à combustible, spécialement adaptés pour des véhicules électriques pour la surveillance et la commande des batteries en fonction du vieillissement de la batterie, p. ex. du nombre de cycles de charge ou de l'état de santé [SoH]
G01R 31/3842 - Dispositions pour la surveillance de variables des batteries ou des accumulateurs, p. ex. état de charge combinant des mesures de tension et de courant
G01R 31/367 - Logiciels à cet effet, p. ex. pour le test des batteries en utilisant une modélisation ou des tables de correspondance
G01R 31/392 - Détermination du vieillissement ou de la dégradation de la batterie, p. ex. état de santé
G01R 31/396 - Acquisition ou traitement de données pour le test ou la surveillance d’éléments particuliers ou de groupes particuliers d’éléments dans une batterie
27.
TEST METHOD PERFORMED WITH DESIGN OF EXPERIMENT CREATED BY AN ARTIFICIAL INTELLIGENCE
The invention relates to a computer implemented test method comprising creation of a battery model (20) generated by a virtual data generator (12) in a control unit (10) indicating the dynamics of the battery, collecting at least one piece of data and at least one second piece of data from the created battery model (20) by means of a data collector (14), converting the obtained first and second pieces of data into a training data by a controller (16), training an artificial intelligence module (30) using the training data to create an design of experiment for batteries. Test method further comprising the process steps of creation of an design of experiment by a processor (32) in the artificial intelligence module (30), determining the parameters to be tested with the design of experiment, creating a simulation environment (40) by a simulation generator (34) of the artificial intelligence module (30) with the determined parameters, monitoring the battery dynamics according to the changing parameters of the batteries with an monitoring unit (36) inside the artificial intelligence module (30).
G01R 31/36 - Dispositions pour le test, la mesure ou la surveillance de l’état électrique d’accumulateurs ou de batteries, p. ex. de la capacité ou de l’état de charge
B60L 3/00 - Dispositifs électriques de sécurité sur véhicules propulsés électriquementContrôle des paramètres de fonctionnement, p. ex. de la vitesse, de la décélération ou de la consommation d’énergie
G01R 31/367 - Logiciels à cet effet, p. ex. pour le test des batteries en utilisant une modélisation ou des tables de correspondance
09 - Appareils et instruments scientifiques et électriques
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Measurement apparatus and equipment including those for scientific, nautical, topographic, meteorologic, industrial and laboratory purposes; thermometers, not for medical purposes; barometers; ammeters; voltmeters; hygrometers; testing apparatus not for medical purposes; telescopes; periscopes; directional compasses; speed indicators; laboratory apparatus; microscopes; magnifying glasses; stills; binoculars; ovens and furnaces for laboratory experiments; apparatus for recording, transmission or reproduction of sound or images; cameras; photographic cameras; television apparatus; video recorders; CD and DVD players and recorders; MP3 players; computers; desktop computers; tablet computers; wearable technological devices (smart watches, wristband computer devices, head-mounted video recording apparatus); microphones; loudspeakers; earphones; telecommunications apparatus; apparatus for the reproduction of sound or images; computer peripheral devices; cell phones; covers for cell phones; telephone apparatus; computer printers; scanners [data processing equipment]; photocopiers; downloadable and recordable electronic publications; encoded magnetic and optic cards; movies, tv series and video music clips recorded on magnetic, optical and electronic media; antennas, satellite antennas, amplifiers for antennas, parts of the aforementioned goods; ticket dispensers, automatic teller machines (ATM); electronic components used in the electronic parts of machines and apparatus, semi-conductors, electronic circuits, integrated circuits, chips [integrated circuits], diodes, transistors [electronic], magnetic heads for electronic apparatus, electronic locks, photocells, remote control apparatus for opening and closing doors, optical sensors; counters and quantity indicators for measuring the quantity of consumption, automatic time switches; clothing for protection against accidents, irradiation and fire, safety vests and life-saving apparatus and equipment; eyeglasses, sunglasses, optical lenses and cases, containers, parts and components thereof; apparatus and instruments for conducting, transforming, accumulating or controlling electricity, electric plugs, junction boxes [electricity], electric switches, circuit breakers, fuses, lighting ballasts, battery starter cables, electrical circuit boards, electric resistances, electric sockets, transformers [electricity], electrical adapters, battery chargers, electric door bells, electric and electronic cables, batteries, electric accumulators, solar panels for production of electricity; alarms and anti-theft alarms, other than for vehicles, electric bells; fire extinguishing apparatus, fire engines, fire hose and fire hose nozzles; decorative magnets; metronomes. Scientific and industrial analysis and research services; engineering; engineering and architectural design services; testing services for the certification of quality and standarts; industrial design services, other than engineering, computer and architectural design; graphic arts designing; authenticating works of art.
09 - Appareils et instruments scientifiques et électriques
42 - Services scientifiques, technologiques et industriels, recherche et conception
45 - Services juridiques; services de sécurité; services personnels pour individus
Produits et services
Measurement apparatus and equipment including those for scientific, nautical, topographic, meteorologic, industrial and laboratory purposes; thermometers, not for medical purposes; barometers; ammeters; voltmeters; hygrometers; testing apparatus not for medical purposes; telescopes; periscopes; directional compasses; speed indicators; laboratory apparatus; microscopes; magnifying glasses; stills; binoculars; ovens and furnaces for laboratory experiments; apparatus for recording, transmission or reproduction of sound or images; cameras; photographic cameras; television apparatus; video recorders, CD and DVD players and recorders; MP3 players; computers; desktop computers; tablet computers; wearable technological devices (smart watches, wristband computer devices, head-mounted video recording apparatus); microphones; loudspeakers; earphones; telecommunications apparatus; apparatus for the reproduction of sound or images; computer peripheral devices; cell phones; covers for cell phones; telephone apparatus; computer printers; scanners [data processing equipment]; photocopiers; magnetic and optic data carriers and computer software and programmes recorded thereto; downloadable and recordable electronic publications; encoded magnetic and optic cards; movies; tv series and video music clips recorded on magnetic, optical and electronic media; antennas, satellite antennas, amplifiers for antennas, parts of the aforementioned goods; ticket dispensers, automatic teller machines (ATM); electronic components used in the electronic parts of machines and apparatus, semi-conductors, electronic circuits, integrated circuits, chips [integrated circuits], diodes, transistors [electronic], magnetic heads for electronic apparatus, electronic locks, photocells, remote control apparatus for opening and closing doors, optical sensors; counters and quantity indicators for measuring the quantity of consumption, automatic time switches; clothing for protection against accidents, irradiation and fire, safety vests and life-saving apparatus and equipment; eyeglasses, sunglasses, optical lenses and cases, containers, parts and components thereof; apparatus and instruments for conducting, transforming, accumulating or controlling electricity, electric plugs, junction boxes [electricity], electric switches, circuit breakers, fuses, lighting ballasts, battery starter cables, electrical circuit boards, electric resistances, electric sockets, transformers [electricity], electrical adapters, battery chargers, electric door bells, electric and electronic cables, batteries, electric accumulators, solar panels for production of electricity; alarms and anti-theft alarms, other than for vehicles, electric bells; signalling apparatus and instruments, luminous or mechanical signs for traffic use; fire extinguishing apparatus, fire engines, fire hose and fire hose nozzles; radar apparatus, sonars, night vision apparatus and instruments; decorative magnets; metronomes. Scientific and industrial analysis and research services; engineering; engineering and architectural design services; testing services for the certification of quality and standarts; computer services, namely, computer programming, computer virus protection services, computer system design, creating, maintaining and updating websites for others, computer software design, updating and rental of computer software, providing search engines for the internet, hosting websites, computer hardware consultancy, rental of computer hardware; industrial design services, other than engineering, computer and architectural design; graphic arts designing; authenticating works of art. Legal services, consultancy in the fields of intellectual and industrial property rights; security services for the protection of individuals and property; marriage agencies; funeral services; clothing rental; fire-fighting services; escorting in society (chaperoning); consultancy relating to workplace safety; social networking services.
09 - Appareils et instruments scientifiques et électriques
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Measurement apparatus and equipment including those for scientific, nautical, topographic, meteorologic, industrial and laboratory purposes; thermometers, not for medical purposes; barometers; ammeters; voltmeters; hygrometers; testing apparatus not for medical purposes; telescopes; periscopes; directional compasses; speed indicators; laboratory apparatus; microscopes; magnifying glasses; stills; binoculars; ovens and furnaces for laboratory experiments; apparatus for recording, transmission or reproduction of sound or images; cameras; photographic cameras; television apparatus; video recorders; CD and DVD players and recorders; MP3 players; computers; desktop computers; tablet computers; wearable technological devices (smart watches, wristband computer devices, head-mounted video recording apparatus); microphones; loudspeakers; earphones; telecommunications apparatus; apparatus for the reproduction of sound or images; computer peripheral devices; cell phones; covers for cell phones; telephone apparatus; computer printers; scanners [data processing equipment]; photocopiers; magnetic and optic data carriers and computer software and programmes recorded thereto; downloadable and recordable electronic publications; encoded magnetic and optic cards; movies, tv series and video music clips recorded on magnetic, optical and electronic media; antennas, satellite antennas, amplifiers for antennas, parts of the aforementioned goods; ticket dispensers, automatic teller machines (ATM); electronic components used in the electronic parts of machines and apparatus, semi-conductors, electronic circuits, integrated circuits, chips [integrated circuits], diodes, transistors [electronic], magnetic heads for electronic apparatus, electronic locks, photocells, remote control apparatus for opening and closing doors, optical sensors; counters and quantity indicators for measuring the quantity of consumption, automatic time switches; clothing for protection against accidents, irradiation and fire, safety vests and life-saving apparatus and equipment; eyeglasses, sunglasses, optical lenses and cases, containers, parts and components thereof; apparatus and instruments for conducting, transforming, accumulating or controlling electricity, electric plugs, junction boxes [electricity], electric switches, circuit breakers, fuses, lighting ballasts, battery starter cables, electrical circuit boards, electric resistances, electric sockets, transformers [electricity], electrical adapters, battery chargers, electric door bells, electric and electronic cables, batteries, electric accumulators, solar panels for production of electricity; alarms and anti-theft alarms, other than for vehicles, electric bells; signalling apparatus and instruments, luminous or mechanical signs for traffic use; fire extinguishing apparatus, fire engines, fire hose and fire hose nozzles; radar apparatus, sonars, night vision apparatus and instruments; decorative magnets; metronomes. Scientific and industrial analysis and research services; engineering; engineering and architectural design services; testing services for the certification of quality and standarts; computer services, namely, computer programming, computer virus protection services, computer system design, creating, maintaining and updating websites for others, computer software design, updating and rental of computer software, providing search engines for the internet, hosting websites, computer hardware consultancy, rental of computer hardware; industrial design services, other than engineering, computer and architectural design; graphic arts designing; authenticating works of art.
09 - Appareils et instruments scientifiques et électriques
42 - Services scientifiques, technologiques et industriels, recherche et conception
45 - Services juridiques; services de sécurité; services personnels pour individus
Produits et services
Measurement apparatus and equipment including those for scientific, nautical, topographic, meteorologic, industrial and laboratory purposes; thermometers, not for medical purposes; barometers; ammeters; voltmeters; hygrometers; testing apparatus not for medical purposes; telescopes; periscopes; directional compasses; speed indicators; laboratory apparatus; microscopes; magnifying glasses; stills; binoculars; ovens and furnaces for laboratory experiments; apparatus for recording, transmission or reproduction of sound or images; cameras; photographic cameras; television apparatus; video recorders, CD and DVD players and recorders; MP3 players; computers; desktop computers; tablet computers; wearable technological devices (smart watches, wristband computer devices, head-mounted video recording apparatus); microphones; loudspeakers; earphones; telecommunications apparatus; apparatus for the reproduction of sound or images; computer peripheral devices; cell phones; covers for cell phones; telephone apparatus; computer printers; scanners [data processing equipment]; photocopiers; magnetic and optic data carriers and computer software and programmes recorded thereto; downloadable and recordable electronic publications; encoded magnetic and optic cards; movies; tv series and video music clips recorded on magnetic, optical and electronic media; antennas, satellite antennas, amplifiers for antennas, parts of the aforementioned goods; ticket dispensers, automatic teller machines (ATM); electronic components used in the electronic parts of machines and apparatus, semi-conductors, electronic circuits, integrated circuits, chips [integrated circuits], diodes, transistors [electronic], magnetic heads for electronic apparatus, electronic locks, photocells, remote control apparatus for opening and closing doors, optical sensors; counters and quantity indicators for measuring the quantity of consumption, automatic time switches; clothing for protection against accidents, irradiation and fire, safety vests and life-saving apparatus and equipment; eyeglasses, sunglasses, optical lenses and cases, containers, parts and components thereof; apparatus and instruments for conducting, transforming, accumulating or controlling electricity, electric plugs, junction boxes [electricity], electric switches, circuit breakers, fuses, lighting ballasts, battery starter cables, electrical circuit boards, electric resistances, electric sockets, transformers [electricity], electrical adapters, battery chargers, electric door bells, electric and electronic cables, batteries, electric accumulators, solar panels for production of electricity; alarms and anti-theft alarms, other than for vehicles, electric bells; signalling apparatus and instruments, luminous or mechanical signs for traffic use; fire extinguishing apparatus, fire engines, fire hose and fire hose nozzles; radar apparatus, sonars, night vision apparatus and instruments; decorative magnets; metronomes. Scientific and industrial analysis and research services; engineering; engineering and architectural design services; testing services for the certification of quality and standarts; computer services, namely, computer programming, computer virus protection services, computer system design, creating, maintaining and updating websites for others, computer software design, updating and rental of computer software, providing search engines for the internet, hosting websites, computer hardware consultancy, rental of computer hardware; industrial design services, other than engineering, computer and architectural design; graphic arts designing; authenticating works of art. Legal services, consultancy in the fields of intellectual and industrial property rights; security services for the protection of individuals and property; marriage agencies; funeral services; clothing rental; fire-fighting services; escorting in society (chaperoning); consultancy relating to workplace safety; social networking services.
