Abstract: A system and method for intelligent battery charging management to improve battery life and charging efficiency of high capacity batteries that may not be deeply discharged on a regular basis may learn driving habits automatically and/or with user input and select an ending state-of-charge (SOC) to limit battery charging to less than maximum capacity based on current and/or anticipated ambient temperature and battery health of life (HOL). An expected vehicle travel distance before the next charge may be learned or determined based on vehicle or user inputs. An ending SOC based on battery temperature, a delta SOC to meet propulsive energy for the expected travel distance, cycling effect (depth of discharge) on battery HOL for a given delta SOC, and/or battery working efficiency may be used to control charging of the vehicle battery.

Abstract: A system and method for intelligent battery charging management to improve battery life and charging efficiency of high capacity batteries that may not be deeply discharged on a regular basis may learn driving habits automatically and/or with user input and select an ending state-of-charge (SOC) to limit battery charging to less than maximum capacity based on current and/or anticipated ambient temperature and battery health of life (HOL). An expected vehicle travel distance before the next charge may be learned or determined based on vehicle or user inputs. An ending SOC based on battery temperature, a delta SOC to meet propulsive energy for the expected travel distance, cycling effect (depth of discharge) on battery HOL for a given delta SOC, and/or battery working efficiency may be used to control charging of the vehicle battery.

Abstract: A system and method for intelligent battery charging management to improve battery life and charging efficiency of high capacity batteries that may not be deeply discharged on a regular basis may learn driving habits automatically and/or with user input and select an ending state-of-charge (SOC) to limit battery charging to less than maximum capacity based on current and/or anticipated ambient temperature and battery health of life (HOL). An expected vehicle travel distance before the next charge may be learned or determined based on vehicle or user inputs. An ending SOC based on battery temperature, a delta SOC to meet propulsive energy for the expected travel distance, cycling effect (depth of discharge) on battery HOL for a given delta SOC, and/or battery working efficiency may be used to control charging of the vehicle battery.

Abstract: A system and method for intelligent battery charging management to improve battery life and charging efficiency of high capacity batteries that may not be deeply discharged on a regular basis may learn driving habits automatically and/or with user input and select an ending state-of-charge (SOC) to limit battery charging to less than maximum capacity based on current and/or anticipated ambient temperature and battery health of life (HOL). An expected vehicle travel distance before the next charge may be learned or determined based on vehicle or user inputs. An ending SOC based on battery temperature, a delta SOC to meet propulsive energy for the expected travel distance, cycling effect (depth of discharge) on battery HOL for a given delta SOC, and/or battery working efficiency may be used to control charging of the vehicle battery.

Abstract: A vehicle includes a thermal system for a battery; and a controller for the thermal system. The controller may be configured to, during vehicle motion, cool the battery when a temperature of the battery exceeds a lower threshold and inhibit transfer of power with the battery when the temperature exceeds an upper threshold, and while coupled with a charge station, heat the battery to a temperature between the lower threshold and the upper threshold.

Abstract: A vehicle includes a thermal system for a battery; and a controller for the thermal system. The controller may be configured to, during vehicle motion, cool the battery when a temperature of the battery exceeds a lower threshold and inhibit transfer of power with the battery when the temperature exceeds an upper threshold, and while coupled with a charge station, heat the battery to a temperature between the lower threshold and the upper threshold.

Abstract: A vehicle is disclosed that includes a battery and a controller programmed to calculate a battery voltage characteristic from previously measured charge and discharge data. The battery voltage characteristic is based on differences between the previously measured values when state of charge falls in a range in which the differences are approximately equal. Outside of the range, the charge and discharge voltage data are corrected based on a square root of time to obtain the battery voltage characteristic. The characterization may be performed with a high-rate continuous charge and discharge cycle. Also disclosed is an apparatus for generating the battery characteristic that includes a bi-directional power supply. The battery voltage characteristic is obtained based on the differences of the charge and discharge voltage data and corrected data based on the square root of time. A method is also disclosed based on the same.

Abstract: A vehicle is disclosed that includes a battery and a controller programmed to calculate a battery voltage characteristic from previously measured charge and discharge data. The battery voltage characteristic is based on differences between the previously measured values when state of charge falls in a range in which the differences are approximately equal. Outside of the range, the charge and discharge voltage data are corrected based on a square root of time to obtain the battery voltage characteristic. The characterization may be performed with a high-rate continuous charge and discharge cycle. Also disclosed is an apparatus for generating the battery characteristic that includes a bi-directional power supply. The battery voltage characteristic is obtained based on the differences of the charge and discharge voltage data and corrected data based on the square root of time. A method is also disclosed based on the same.

Abstract: A system and method for controlling temperature of an energy storage device of a vehicle via a movable device. The method includes determining a set of inputs, the set of inputs including a representative temperature of the energy storage device and a cabin temperature corresponding to an operator cabin. The method further includes generating a control signal based at least in part on the set of inputs, outputting the control signal to the movable device, and modifying a variable rate of movement of the movable device in response to the control signal such that a corresponding variable amount of operator cabin air is moved past the energy storage device.

Abstract: A system and method for controlling temperature of an energy storage device of a vehicle via a movable device. The method includes determining a set of inputs, the set of inputs including a representative temperature of the energy storage device and a cabin temperature corresponding to an operator cabin. The method further includes generating a control signal based at least in part on the set of inputs, outputting the control signal to the movable device, and modifying a variable rate of movement of the movable device in response to the control signal such that a corresponding variable amount of operator cabin air is moved past the energy storage device.

Abstract: A method for heating a battery in a hybrid electric vehicle. The hybrid electric vehicle has an engine, a battery, a motor generator powered by the engine or the battery, and a control module. The method includes the steps of determining a battery temperature and determining whether a tip-in event, a tip-out event, or a terminal voltage event has occurred. The polarity of the battery is reversed if the battery temperature is below a predetermined value and if a tip-in event, a tip-out event, or a terminal voltage event has occurred.