An information calculation system acquires a battery load history of a secondary battery that has been used. The information calculation system calculates first degradation states of a plurality of battery constituent elements of the secondary battery, based on the battery load history acquired and a plurality of degradation factors related to each of the battery constituent elements. The information calculation system acquires estimated load information on a load that is estimated to act on the secondary battery when the secondary battery is used in a future application. The information calculation system calculates future second degradation states of the plurality of battery constituent elements of the secondary battery when the secondary battery is used in the future application, based on the first degradation states related to the battery constituent elements calculated, the estimated load information acquired, and the plurality of degradation factors related to the battery constituent elements.

An information calculation system acquires a battery load history of a secondary battery that has been used. The information calculation system calculates first degradation states of a plurality of battery constituent elements of the secondary battery, based on the battery load history acquired and a plurality of degradation factors related to each of the battery constituent elements. The information calculation system acquires estimated load information on a load that is estimated to act on the secondary battery when the secondary battery is used in a future application. The information calculation system calculates future second degradation states of the plurality of battery constituent elements of the secondary battery when the secondary battery is used in the future application, based on the first degradation states related to the battery constituent elements calculated, the estimated load information acquired, and the plurality of degradation factors related to the battery constituent elements.

The present invention relates to a system for predicting battery usage habits and battery discharge tendencies. The system includes a battery sensor that senses a state of charge (SOC) of a battery and a controller hat calculates battery power generation amount during driving time of a vehicle and battery consumption during parking time of the vehicle based on information sensed by the battery sensor. A storage unit for stores the battery power generation amount, the battery consumption, time at which the vehicle is tuned on/off, and time at which the controller enters a sleep/wake-up state.

The present invention relates to a system for predicting battery usage habits and battery discharge tendencies. The system includes a battery sensor that senses a state of charge (SOC) of a battery and a controller hat calculates battery power generation amount during driving time of a vehicle and battery consumption during parking time of the vehicle based on information sensed by the battery sensor. A storage unit for stores the battery power generation amount, the battery consumption, time at which the vehicle is tuned on/off, and time at which the controller enters a sleep/wake-up state.

A battery system includes at least one battery including a plurality of cells and a hybrid control module configured to monitor a differential capacity of the at least one battery, determine when the monitored differential capacity of the at least one battery corresponds to a predetermined differential capacity of the at least one battery, and determine a state of charge of the battery in response to the determination that the monitored differential capacity corresponds to the predetermined differential capacity.

A battery system includes at least one battery including a plurality of cells and a hybrid control module configured to monitor a differential capacity of the at least one battery, determine when the monitored differential capacity of the at least one battery corresponds to a predetermined differential capacity of the at least one battery, and determine a state of charge of the battery in response to the determination that the monitored differential capacity corresponds to the predetermined differential capacity.

A method for predicting an electric load imparted on each battery unit in an electric energy storage system comprising at least two battery units electrically connected in parallel to each other. The method comprises establishing a battery parameter set, the battery parameter set comprising at least the following values for each battery unit in the electric energy storage system: an internal ohmic resistance value indicative of the internal ohmic resistance of the battery unit and an open circuit voltage value indicative of the open circuit voltage of the battery unit, using an electric load level indicative of a total electric energy storage system load, and using the electric load level and the battery parameter set for predicting the imparted load on each battery unit in the electric energy storage system.

A method for predicting an electric load imparted on each battery unit in an electric energy storage system comprising at least two battery units electrically connected in parallel to each other. The method comprises establishing a battery parameter set, the battery parameter set comprising at least the following values for each battery unit in the electric energy storage system: an internal ohmic resistance value indicative of the internal ohmic resistance of the battery unit and an open circuit voltage value indicative of the open circuit voltage of the battery unit, using an electric load level indicative of a total electric energy storage system load, and using the electric load level and the battery parameter set for predicting the imparted load on each battery unit in the electric energy storage system.

Systems and methods may coordinate and provide bidirectional energy transfer events between electrified vehicles and other devices or structures, such as for supporting transient loads associated with the devices/structures. Battery life information and driving habit information may be leveraged for selecting an appropriate energy transfer strategy for any given vehicle, traction battery pack, structure, and/or grid power source condition. The proposed systems/methods may thereby align grid demand charge strategies to each vehicle's battery life, thereby preserving the life/warranty and asset utilization of the traction battery pack over the entire usage life of the vehicle.

Systems and methods may coordinate and provide bidirectional energy transfer events between electrified vehicles and other devices or structures, such as for supporting transient loads associated with the devices/structures. Battery life information and driving habit information may be leveraged for selecting an appropriate energy transfer strategy for any given vehicle, traction battery pack, structure, and/or grid power source condition. The proposed systems/methods may thereby align grid demand charge strategies to each vehicle's battery life, thereby preserving the life/warranty and asset utilization of the traction battery pack over the entire usage life of the vehicle.