Electric vehicle battery current prediction based on driving parameters

M. Rajalingam, M. Karthikeyan, V. Diwakar
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引用次数: 1

Abstract

Electric vehicles are increasing their market share from year to year due to increasing concerns over global warming, to seek freedom from oil based transportation. Considering Electric Vehicles (EVs) as an alternative for Internal Combustion Engines, it is essential to characterize electric vehicles in terms of real world usage and to overcome the range anxiety associated with electric vehicles. In this point of view, an attempt has been made to analyze the real world drive pattern to predict the battery current with multiple linear regression model.
基于行驶参数的电动汽车电池电流预测
由于对全球变暖的担忧日益加剧,电动汽车的市场份额正在逐年增加,以摆脱以石油为基础的交通。考虑到电动汽车(ev)作为内燃机的替代品,有必要根据现实世界的使用情况来描述电动汽车,并克服与电动汽车相关的里程焦虑。在此基础上,尝试用多元线性回归模型分析实际驱动模式来预测电池电流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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