公开(公告)号：US20100138178A1

公开(公告)日：2010-06-03

申请号：US12384696

申请日：2009-04-08

申请人： Anil Paryani ,  Scott Ira Kohn ,  Brian Boggs ,  Andrew David Baglino ,  Craig Bruce Carison

发明人： Anil Paryani ,  Scott Ira Kohn ,  Brian Boggs ,  Andrew David Baglino ,  Craig Bruce Carison

IPC分类号： G01R31/36

CPC分类号： G01R31/3624

摘要： A method for accurately estimating battery capacity based on a weighting function is provided. The disclosed system monitors battery current and uses the monitored battery current to calculate the state of charge (SOCbyAh) of the battery. The system also measures the open circuit voltage (OCV) of the battery when the system is at rest, rest being determined by achieving a current of less than a preset current value for a period of time greater than a preset time period. The state of charge of the battery is calculated from the OCV (SOCbyOCV). The weighting function is based on ΔSOCbyAh and ΔSOCbyOCV, where ΔSOCbyAh is equal to SOCbyAhFirst time minus SOCbyAhSecond time, and where ΔSOCbyOCV is equal to SOCbyOCVFirst time minus SOCbyOCVSecond time. The weighting function also takes into account the errors associated with determining SOCbyAh and SOCbyOCV.

摘要翻译： 提供了一种基于加权函数精确估计电池容量的方法。 所公开的系统监视电池电流并使用监测的电池电流来计算电池的充电状态（SOCbyAh）。 该系统还在系统静止时测量电池的开路电压（OCV），通过在大于预设时间段的时间段内实现小于预置电流值的电流来确定。 从OCV（SOCbyOCV）计算电池的充电状态。 加权函数基于＆Dgr; SOCbyAh和＆Dgr; SOCbyOCV，其中＆Dgr; SOCbyAh等于SOCbyAh第一次减去SOCbyAhSecond时间，其中＆Dgr; SOCbyOCV等于SOCbyOCV第一次减去SOCbyOCV秒。 加权函数还考虑了与确定SOCbyAh和SOCbyOCV相关的错误。