电动汽车续航里程估计准确度评价

提高电动汽车续航里程估计准确度是缓解消费者里程焦虑的重要手段,为了提高估计准确度,首先就要在行业内建立统一的评价标准。本文以电动汽车实际续航里程和仪表显示续航里程为参数建立了一元线性回归的数学模型,然后利用确定系数和欧氏距离对十一辆纯电动汽车在常温、高温、低温环境中的续航里程估计准确度进行了评价。由结果可知：对于大部分车型,常温的续航里程估计准确度最好,高温次之,低温最差；确定系数相比于欧式距离能更好的评价续航里程估计准确度,最后根据试验结果在《EV-TEST管理规则》(2017版)框架内建立了评分规则,为企业和消费者提供了参考。

Evaluation method for estimation accuracy of BEV cruising range

Improving the accuracy of electric vehicle cruising range estimation is an important means to alleviate consumer mileage anxiety. In order to improve the accuracy of estimation, it is necessary to establish a unified evaluation standard in the industry. In this paper, the mathematical model of linear regression was established by taking the actual cruising range and the cruising range, and then the accuracy of the cruising range estimation of eleven vehicles at normal temperature, high temperature and low temperature was evaluated by using determine of coefficient and Euclidean distance. The results show that the accuracy of normal temperature is the best, and the low temperature is the worst; Coefficient of determination is better than Euclidean distance to evaluate the cruising range estimation for most vehicles. According to the experiment results, the scoring rules are established within the the EV-TEST Management Rules (2017 version), which provides a reference for enterprises and consumers.