发明名称 Nonlinear adaptive observation approach to battery state of charge estimation
摘要 A method of controlling an electric vehicle including an internal combustion engine, a battery having a state of charge (SOC) and an open circuit voltage (OCV), includes establishing a system for estimating battery SOC. The system includes (i) a parameter estimation subsystem including a recursive parameter estimator for identifying battery parameters and (ii) an OCV estimation subsystem including a nonlinear adaptive observer for estimating battery OCV. Estimated battery OCV is related to estimated battery SOC by a mapping. An output is generated based on the estimated battery SOC.
申请公布号 US8880253(B2) 申请公布日期 2014.11.04
申请号 US201113171090 申请日期 2011.06.28
申请人 Ford Global Technologies, LLC 发明人 Li Yonghua;Anderson Richard Dyche;Song Jing
分类号 B60L11/00;H02J7/00;B60L11/18;B60W20/00;B60W10/26;G01R31/36 主分类号 B60L11/00
代理机构 Brooks Kushman P.C. 代理人 Kelley David B.;Brooks Kushman P.C.
主权项 1. A method for estimating battery state of charge of an electric vehicle including an internal combustion engine, a battery having a state of charge (SOC) and an open circuit voltage (OCV), the method comprising: establishing a system operable in open and closed loop modes for estimating battery SOC based on a current-time integration in the open loop mode, including (i) a parameter estimation subsystem including a recursive parameter estimator for estimating battery parameters based on a previous estimate of battery OCV in the closed loop mode and (ii) an OCV estimation subsystem including a nonlinear adaptive observer for estimating battery OCV based on the battery parameters and a previous estimate of battery OCV, wherein estimated battery OCV is related to estimated battery SOC by a mapping and wherein the system operates in the open loop mode at startup and switches to the closed loop mode based on a predetermined condition; and generate an output based on the estimated battery SOC.
地址 Dearborn MI US