In order to improve the estimation accuracy of the battery's state of charge(SOC) for the hybrid electric vehicle(HEV),the SOC estimation algorithm based on advanced wavelet neural network(WNN) is presented.Bas...In order to improve the estimation accuracy of the battery's state of charge(SOC) for the hybrid electric vehicle(HEV),the SOC estimation algorithm based on advanced wavelet neural network(WNN) is presented.Based on advanced WNN,the SOC estimation model of a lithium-ion power battery for the HEV is first established.Then,the convergence of the advanced WNN algorithm is proved by mathematical deduction.Finally,using an adequate data sample of various charging and discharging of HEV batteries,the neural network is trained.The simulation results indicate that the proposed algorithm can effectively decrease the estimation errors of the lithium-ion power battery SOC from the range of ±8% to ±1.5%,compared with the traditional SOC estimation methods.展开更多
基金The National Natural Science Foundation of China (No.60904023)
文摘In order to improve the estimation accuracy of the battery's state of charge(SOC) for the hybrid electric vehicle(HEV),the SOC estimation algorithm based on advanced wavelet neural network(WNN) is presented.Based on advanced WNN,the SOC estimation model of a lithium-ion power battery for the HEV is first established.Then,the convergence of the advanced WNN algorithm is proved by mathematical deduction.Finally,using an adequate data sample of various charging and discharging of HEV batteries,the neural network is trained.The simulation results indicate that the proposed algorithm can effectively decrease the estimation errors of the lithium-ion power battery SOC from the range of ±8% to ±1.5%,compared with the traditional SOC estimation methods.