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| Development of Battery Electric Vehicle's Driving Cycle in the Mountain Environment Based on Big Data |
| ZHU Shu-jiang1, XU Ting-ting2, LONG Fang-jia2, HU Xiao-rui2 |
1. China Automotive Engineering Research Institute Co., Ltd., Chongqing 401122, China;
2. State Grid Chongqing Electric Power Company, Chongqing 400015, China |
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Abstract With the increasing trend of battery electric vehicles, it is no longer appropriate to use the traditional fuel vehicle’s driving cycle for battery electric vehicle driving cycle research. In order to obtain the driving cycle of the battery electric vehicle and compare it with the traditional driving cycle from a data perspective, the driving data of the battery electric vehicle in the Chongqing area was analyzed. The proprietary big data platform provided whole vehicle and battery data, and the short-stroke method was used to identify the kinematic fragments. Then, the kinematic fragments’ feature is constructed using the correlation method of feature engineering. The dimension of high-dimensional feature data is reduced through principal component analysis, and the feature weight is calculated to eliminate the influence of feature correlation. Next, the K-means++ clustering method is used to partition the structure of the driving speed and battery current curves, and thus to construct four types of working conditions: low speed, medium speed, medium-high speed, and high speed. Moreover, the most suitable short-time working conditions are selected by sorting the distance of each working condition from the cluster center as the origin. The weight of the data set is determined by the ratio of the total duration of the data set to the total duration of the data set. Through error analysis, the characteristic deviation error of the smallest curve is selected as a representative of the working condition to determine the representative of the vehicle and battery working conditions. Finally, the reliability of the battery electric vehicle operating curve in a mountainous environment is demonstrated by comparing international and domestic typical operating conditions. The results indicate that in mountainous environments, pure electric vehicles exhibit shorter constant speed driving times, longer idling times, greater deceleration, and a smaller proportion of deceleration time compared to non-mountainous environments. Additionally, battery discharge efficiency is higher, and the vehicle speed is maintained at a moderate level.
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Received: 02 September 2023
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2024, Vol. 18 
