基于卡爾曼濾波的鋰離子蓄電池組SOC估算方法研究

摘要：針對電動汽車鋰離子蓄電池組SOC估算精度問題，采用卡爾曼濾波算法進行估算。建立電池組的狀態空間模型，根據實際工況進行模型參數辨識，并實時校正電池組實際容量和庫倫效率，通過仿真驗證此模型的可行性和精度。仿真結果表明，該方法能夠實時估算電池組SOC，最大誤差僅為1.8%�？�爾曼濾波算法能夠大大提高電池組SOC估算精度，通過改進此算法將能夠適應電動汽車復雜行駛工況的安全保障要求。 敘詞：電動汽車 剩余電量 卡爾曼濾波 鋰離子蓄電池組 Abstract：Using Kalman filter to estimate Lithium-ion battery pack SOC, aiming to improve the SOC estimation accuracy. Establishing the state space model for the battery pack, according to the actual working conditions to identify model parameters, correcting the battery pack actual capacity and coulombic efficiency in real time, and verifying the feasibility and accuracy of the model through the simulation. The simulation results show that this method can estimate battery pack SOC in real time, and the maximum error is only 1.8%.Kalman filter can greatly improve the battery pack SOC estimation precision, and improving Kalman filter will be able to adapt to the requirements of electric vehicle complex running conditions and security. Keyword：Electric vehicle, SOC, Kalman filter, Lithium-ion battery pack