摘要
为了精确地了解电动汽车蓄电池的剩余电量，本文在用蓄电池电化学及目前一些剩余电量计量方法进行分析的基础上，提出了一种基于蓄电池电动势和内阻组合确定剩余电量的新方法．同时，由于蓄电池电动势和内阻与剩余电量之间的非线性关系，本文将使用神经网络技术来实现对剩余电量的预测，并取得了很好的效果．
To know the accurate residual capacity of the EV traction batteries is very important to the drivers of EVs. This paper analyzes the electrochemistry of batteries and current ways of calculating residual capacity, and based on electronlotive force and internal resistance, a new algorithm is put forward to calculate the residual capacity of lead-acid batteries. Furthermore, because of the residual capacity's nolinear relation, to electromotive force and internal resistance of batteries, this paper uses the technology of neural net to cast the residual capacity of batteries, which produces satisfactory effects.
出处
《江苏理工大学学报（自然科学版）》
2001年第2期51-55,共5页
Journal of Jiangsu University of Science and Technology(Natural Science)
