TY - JOUR
T1 - SOC estimation of HEV/EV battery using series kalman filter
AU - Baba, Atsushi
AU - Adachi, Shuichi
PY - 2012
Y1 - 2012
N2 - This paper proposes a method of accurately estimating the state of charge (SOC) of rechargeable batteries in high fuel efficiency vehicles, such as hybrid electric vehicles (HEV s) and electric vehicles (EV s). Despite the importance of accurately estimating the SOC of batteries to achieve maximum efficiency and safety, no method thus far has been able to do so. This paper focuses on the simplification of a battery model, estimation of time-varying battery parameters, and estimation of SOC under measurement noises. To address these three issues, a model-based approach that uses a cascaded combination of two Kalman filters, ̈Series Kalman Filters̈ is proposed and implemented. This approach is verified by performing a series of simulations under an HEV operating environment. The ultimate goal is to design a state estimator capable of accurately estimating the state of any kinds of batteries under every possible user condition.
AB - This paper proposes a method of accurately estimating the state of charge (SOC) of rechargeable batteries in high fuel efficiency vehicles, such as hybrid electric vehicles (HEV s) and electric vehicles (EV s). Despite the importance of accurately estimating the SOC of batteries to achieve maximum efficiency and safety, no method thus far has been able to do so. This paper focuses on the simplification of a battery model, estimation of time-varying battery parameters, and estimation of SOC under measurement noises. To address these three issues, a model-based approach that uses a cascaded combination of two Kalman filters, ̈Series Kalman Filters̈ is proposed and implemented. This approach is verified by performing a series of simulations under an HEV operating environment. The ultimate goal is to design a state estimator capable of accurately estimating the state of any kinds of batteries under every possible user condition.
KW - Electric vehicle (EV)
KW - Hybrid electric vehicle (HEV)
KW - Kalman filter
KW - Parameter estimation
KW - Rechargeable battery
KW - State of charge (SOC)
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U2 - 10.1541/ieejias.132.907
DO - 10.1541/ieejias.132.907
M3 - Article
AN - SCOPUS:84867083435
VL - 132
SP - 907-914+7
JO - IEEJ Transactions on Industry Applications
JF - IEEJ Transactions on Industry Applications
SN - 0913-6339
IS - 9
ER -