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Power battery is the heart of electric vehicles, and the accurate state of charge (SOC) estimation is crucial for the management of the power battery. This paper proposes an adaptive strong tracking unscented Kalman filter (ASTUKF) algorithm to estimate the SOC of lithium-ion battery. This method doesn't need to compute the Jacobian matrix compared with the traditional strong tracking filter. This...
The state of charge (SOC) of Lithium-ion batteries is one of the most critical indexes for battery management system (BMS) in electric vehicles (EV) and hybrid electric vehicles (HEV). To improve SOC estimation performance and reduce chattering effect caused by conventional sliding mode observer (SMO), a novel sliding mode observer is presented in this paper. The switching gains of the proposed observer...
The accurate estimation of state of charge (SOC) is crucial for the management of the power battery for electric vehicles. The electric vehicle often encounters data mutation when it is actually running. In this paper, a new adaptive fading extended Kalman filter (AFEKF) is applied in the SOC estimation of Lithium-ion battery. AFEKF can reduce the influence of data mutation through the adaptive iterating...
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