多因素影响下的纯电动汽车电耗算法优化

针对纯电动汽车的电耗预测问题，提出一种考虑环境温度、电池状态和车速等多因素影响的电耗计算模型.首先，基于自主研发的数据采集装置，采集不同城市的纯电动汽车长期行驶数据，作为模型构建的基础；其次，考虑纯电动汽车实际行驶过程中的温度、电池和车速等因素，结合《中国汽车行驶工况》(CATC-LT)道路行驶标准，提出纯电动汽车行驶百公里的电耗模型；最后，对实际复杂环境中的百公里电耗进行优化.结果表明，在多因素影响的行驶环境中，均方根误差在0.83~4.92区间，平均均方根误差为2.00，比传统算法的均方根误差减少了77.1%.

Optimization of Power Consumption Algorithm for Pure Electric Vehicle Under the Influence of Multiple Factors

Aiming at the problem of power consumption prediction of pure electric vehicles， a power consumption calculation model considering the influence of environmental temperature， battery state and vehicle speed was proposed. Firstly， based on the independently developed data acquisition device， the long-term driving data of pure electric vehicles in different cities were collected as the basis of model construction. Secondly， considering the factors such as temperature， battery and speed in the actual driving process of pure electric vehicles， combined with the road driving standard of China automobile driving conditions(CATC-LT)， the power consumption model of pure electric vehicle traveling 100km was proposed. Finally， the power consumption of 100km in the actual complex environment was optimized. The results show that the root-mean-square error (RMSE) is in the range of 0.83-4.92， and the mean RMSE is 2.00， which is 77.1% lower than the RMSE of the traditional method.