Abstract: A method of predicting battery test results includes using a battery test computer to predict a battery test result for a battery undergoing testing. The battery test computer comprises a tangible, non-transitory computer-readable medium storing a battery test management system implemented as one or more sets of instructions. The battery test management system includes a predictive module configured to predict the battery test result using less than all data required for the battery test to be complete, a validation module configured to validate the prediction, and a training module configured to re-train the predictive module based on results generated by the validation module. The battery test computer also includes processing circuitry configured to execute the one or more sets of instructions, and outputting, via a user interface, the prediction of the result and a confidence level associated with the prediction.

Abstract: Embodiments describe a battery system that includes a first battery module coupled to a regenerative braking system and a control module that controls operation of the battery system by: determining a predicted driving pattern over a prediction horizon using a driving pattern recognition model based in part on a battery current and a previous driving pattern; determining a predicted battery resistance of the first battery module over the prediction horizon using a recursive battery model based in part on the predicted driving pattern, the battery current, a present bus voltage, and a previous bus voltage; determining a target trajectory of a battery temperature of the first battery module over a control horizon using an objective function; and controlling magnitude and duration of electrical power supplied from the regenerative such that a predicted trajectory of the battery temperature is guided toward the target trajectory of the battery temperature during the control horizon.

Abstract: A battery system includes a battery module, a thermal management system, and a battery system controller. The controller is configured to receive data indicative of first operational conditions of the battery module and of second operational conditions of the thermal management system, determine a desired change to the first operational conditions of the battery module by determining an amount of power available to the thermal management system and to the battery module from one or more power sources, and to enable, to effect the desired change to the first operational conditions, the one or more power sources to provide a first quantity of power to the thermal management system and a second quantity of power to the battery module, and the thermal management system to heat or to cool the battery module to a calculated extent.

Abstract: A battery system may include a battery that in operation couples to an electrical system, and a battery control module that in operation electrically couples to the battery. The battery control module may read battery data, estimate a state of charge of the battery based at least in part on the battery data, and estimate a state of charge error of the battery based on magnitudes of state of charge error sources. Additionally, the battery control module may update a state of health estimation of the battery when the state of charge error of the battery exceeds a predetermined threshold.

Abstract: A battery system may include multiple battery cells having different chemistries. To achieve certain performance goals, voltage parameters for the battery system, such as cruising voltages and maximum voltages can be adjusted. These adjustments may, for example, direct charging currents to a lithium-ion battery to increase fuel economy or may direct charging currents away from a lithium-ion battery to increase its longevity. Methods for matching batteries having different chemistries based on their open circuit voltages are also discussed.

Abstract: A method of predicting battery test results includes using a battery test computer to predict a battery test result for a battery undergoing testing. The battery test computer comprises a tangible, non-transitory computer-readable medium storing a battery test management system implemented as one or more sets of instructions. The battery test management system includes a predictive module configured to predict the battery test result using less than all data required for the battery test to be complete, a validation module configured to validate the prediction, and a training module configured to re-train the predictive module based on results generated by the validation module. The battery test computer also includes processing circuitry configured to execute the one or more sets of instructions, and outputting, via a user interface, the prediction of the result and a confidence level associated with the prediction.

Abstract: In an embodiment, a system includes a battery management unit (BMU) coupled to a battery pack of an xEV. Further, the BMU is configured to determine an energy remaining value for the battery pack based, at least in part, on a minimum cell temperature and a minimum cell state of charge percentage (SOC %) determined by the BMU for the battery pack.

Abstract: Embodiments describe a battery system that includes a first battery module coupled to a regenerative braking system and a control module that controls operation of the battery system by: determining a predicted driving pattern over a prediction horizon using a driving pattern recognition model based in part on a battery current and a previous driving pattern; determining a predicted battery resistance of the first battery module over the prediction horizon using a recursive battery model based in part on the predicted driving pattern, the battery current, a present bus voltage, and a previous bus voltage; determining a target trajectory of a battery temperature of the first battery module over a control horizon using an objective function; and controlling magnitude and duration of electrical power supplied from the regenerative such that a predicted trajectory of the battery temperature is guided toward the target trajectory of the battery temperature during the control horizon.

Abstract: In an embodiment, a system includes a battery management unit (BMU) coupled to a battery pack of an xEV. Further, the BMU is configured to determine an energy remaining value for the battery pack based, at least in part, on a minimum cell temperature and a minimum cell state of charge percentage (SOC %) determined by the BMU for the battery pack.