發(fā)布時(shí)間：2019-01-08 17:43

【摘要】：以研究電動(dòng)汽車動(dòng)力電池管理系統(tǒng)為背景,以電池荷電狀態(tài)估算為關(guān)鍵技術(shù),介紹了荷電狀態(tài)與其主要影響因素的非線性動(dòng)態(tài)關(guān)系,建立了二階RC等效電池模型.在此基礎(chǔ)上,考慮了溫度對(duì)電池內(nèi)阻的影響,采用卡爾曼濾波算法、改進(jìn)的安時(shí)計(jì)量法和開路電壓法,結(jié)合基于溫度的電池模型參數(shù)在線辨識(shí),對(duì)電池荷電狀態(tài)進(jìn)行估算,通過(guò)MATLAB仿真,并與基于經(jīng)驗(yàn)公式的卡爾曼濾波算法進(jìn)行了對(duì)比,平均誤差為2.46%,提高了估算精度,驗(yàn)證了算法的可行性和可靠性.
[Abstract]:Based on the research of electric vehicle power battery management system and the key technology of battery charge state estimation, the nonlinear dynamic relationship between charged state and its main influencing factors is introduced, and a second-order RC equivalent battery model is established. On this basis, considering the effect of temperature on the internal resistance of the battery, using the Kalman filter algorithm, the improved amperometric method and open-circuit voltage method, combined with the on-line identification of the parameters of the battery model based on temperature, the charged state of the battery is estimated. Through MATLAB simulation, and compared with the Kalman filter algorithm based on empirical formula, the average error is 2.46, which improves the estimation accuracy and verifies the feasibility and reliability of the algorithm.
【作者單位】： 北京航空航天大學(xué)機(jī)械工程及自動(dòng)化學(xué)院;
【分類號(hào)】：TM912

【參考文獻(xiàn)】

相關(guān)期刊論文 前3條

1 吳紅杰;齊鉑金;鄭敏信;劉永U，

本文編號(hào)：2404925