Abstract: A method for determining an optimal state-of-charge (SOC) operating window for a battery for use in an electric vehicle includes learning a pattern of periodic charging of the battery for a plurality of time periods and a pattern of periodic usage of the battery for the plurality of time periods, determining a periodic energy requirement for the battery for the plurality of time periods based on the learned patterns using a statistical model, and setting a maximum SOC level and a minimum SOC level for the SOC operating window based on two or more of the periodic energy requirement, the learned patterns and a battery chemistry of the battery.

Abstract: A charging system and method that may be used to automatically apply customized charging settings to a plug-in electric vehicle, where application of the settings is based on the vehicle's location. According to an exemplary embodiment, a user may establish and save a separate charging profile with certain customized charging settings for each geographic location where they plan to charge their plug-in electric vehicle. Whenever the plug-in electric vehicle enters a new geographic area, the charging method may automatically apply the charging profile that corresponds to that area. Thus, the user does not have to manually change or manipulate the charging settings every time they charge the plug-in electric vehicle in a new location.

Abstract: System and methods for estimating a temperature of a battery are presented. In some embodiments, a method of estimating a temperature of a battery system may utilize measured battery system temperature data and measured ambient temperature data. Based on the measured temperature data, an average estimated temperature of the battery system may be determined using, at least in part, an extended Kalman filter and an energy balance process model associated with the battery system.

Abstract: System and methods for estimating a temperature of a battery are presented. In some embodiments, a method of estimating a temperature of a battery system may utilize measured battery system temperature data and measured ambient temperature data. Based on the measured temperature data, an average estimated temperature of the battery system may be determined using, at least in part, an extended Kalman filter and an energy balance process model associated with the battery system.

Abstract: A charging system and method that may be used to automatically apply customized charging settings to a plug-in electric vehicle, where application of the settings is based on the vehicle's location. According to an exemplary embodiment, a user may establish and save a separate charging profile with certain customized charging settings for each geographic location where they plan to charge their plug-in electric vehicle. Whenever the plug-in electric vehicle enters a new geographic area, the charging method may automatically apply the charging profile that corresponds to that area. Thus, the user does not have to manually change or manipulate the charging settings every time they charge the plug-in electric vehicle in a new location.