A drivetrain includes an electric machine, an inverter, and a controller. The controller, for a given operating point of the electric machine, may schedule a method of commutation for switches of the inverter during presence of a negative wheel torque request according to a charge rate corresponding to the negative wheel torque request, temperatures of the electric machine and/or inverter, and/or a battery state of charge.

In an electric power device and a charging rate calculation method according to the present invention, a control unit: calculates a sum total (FCC) of respective full charging capacities of a plurality of detachable/attachable batteries; calculates a sum total (RC) of respective present charging capacities of the plurality of detachable/attachable batteries; and calculates an RSOC, which is an overall state of charge (SOC) of the plurality of detachable/attachable batteries, on the basis of the calculated sum total (FCC) of full charging capacities and the calculated sum total (RC) of present charging capacities.

In an electric power device and a charging rate calculation method according to the present invention, a control unit: calculates a sum total (FCC) of respective full charging capacities of a plurality of detachable/attachable batteries; calculates a sum total (RC) of respective present charging capacities of the plurality of detachable/attachable batteries; and calculates an RSOC, which is an overall state of charge (SOC) of the plurality of detachable/attachable batteries, on the basis of the calculated sum total (FCC) of full charging capacities and the calculated sum total (RC) of present charging capacities.

The present disclosure relates to systems, devices, and methods for analyzing health of vehicle batteries. Vehicle batteries tend to degrade over time. The described systems, devices, and methods quantify this degradation (or quantify remaining health of the battery) by comparing average energy used to charge or discharge the battery by a charge level unit to a nominal quantity of energy used to charge or discharge a battery in optimal health by a charge level unit. Charge data for previous charge events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified charge events based on at least one of a number of metrics. Usage data for previous usage events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified usage events or subgroups of usage event based on at least one of a number of metrics.

The present disclosure relates to systems, devices, and methods for analyzing health of vehicle batteries. Vehicle batteries tend to degrade over time. The described systems, devices, and methods quantify this degradation (or quantify remaining health of the battery) by comparing average energy used to charge or discharge the battery by a charge level unit to a nominal quantity of energy used to charge or discharge a battery in optimal health by a charge level unit. Charge data for previous charge events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified charge events based on at least one of a number of metrics. Usage data for previous usage events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified usage events or subgroups of usage event based on at least one of a number of metrics.

The present disclosure relates to systems, devices, and methods for analyzing health of vehicle batteries. Vehicle batteries tend to degrade over time. The described systems, devices, and methods quantify this degradation (or quantify remaining health of the battery) by comparing average energy used to charge or discharge the battery by a charge level unit to a nominal quantity of energy used to charge or discharge a battery in optimal health by a charge level unit. Charge data for previous charge events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified charge events based on at least one of a number of metrics. Usage data for previous usage events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified usage events or subgroups of usage event based on at least one of a number of metrics.

The present disclosure relates to systems, devices, and methods for analyzing health of vehicle batteries. Vehicle batteries tend to degrade over time. The described systems, devices, and methods quantify this degradation (or quantify remaining health of the battery) by comparing average energy used to charge or discharge the battery by a charge level unit to a nominal quantity of energy used to charge or discharge a battery in optimal health by a charge level unit. Charge data for previous charge events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified charge events based on at least one of a number of metrics. Usage data for previous usage events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified usage events or subgroups of usage event based on at least one of a number of metrics.

The present disclosure relates to systems, devices, and methods for analyzing health of vehicle batteries. Vehicle batteries tend to degrade over time. The described systems, devices, and methods quantify this degradation (or quantify remaining health of the battery) by comparing average energy used to charge or discharge the battery by a charge level unit to a nominal quantity of energy used to charge or discharge a battery in optimal health by a charge level unit. Charge data for previous charge events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified charge events based on at least one of a number of metrics. Usage data for previous usage events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified usage events or subgroups of usage event based on at least one of a number of metrics.

The present disclosure relates to systems, devices, and methods for analyzing health of vehicle batteries. Vehicle batteries tend to degrade over time. The described systems, devices, and methods quantify this degradation (or quantify remaining health of the battery) by comparing average energy used to charge or discharge the battery by a charge level unit to a nominal quantity of energy used to charge or discharge a battery in optimal health by a charge level unit. Charge data for previous charge events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified charge events based on at least one of a number of metrics. Usage data for previous usage events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified usage events or subgroups of usage event based on at least one of a number of metrics.

A battery with at least two battery cells, which are connected by at least one electric connection element to one another, and a superordinate control device. Each of the battery cells is provided with at least one galvanic element, a battery cell housing for accommodating the galvanic element, at least one sensor device for detecting a physical and/or chemical feature of the battery cell, and a communication device for communicating with the superordinate device. The superordinate device is adapted to control an energy flow in at least one of the battery cells and/or from at least one of the battery cells as a function of the physical and/or chemical features of the battery cell. The invention further also relates to a motor vehicle with such a battery.