Abstract
Driven by the positive policies, the number of electric passenger vehicle in China is increasing rapidly. However, due to limited driving range, long charging time, and slow development of the charging facilities, there is a serious “mileage anxiety” and “charge anxiety” resulting in the driver. In order to solve the “mileage anxiety”, this paper adopts the driving data of electric passenger vehicle (EPV) of Jianghuai IEV5 to establish the range model based on SOC (State of Charge) under different seasons. As the driving data contains a large number of outliers, in order to reduce the interference of the outliers and effectively exploit the useful information contained in the outliers, the robust regression analysis (RRA) is introduced for the first time to establish the SOC-based range regression model based on the data-driven modeling.
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This research is supported by Key research and development project of Shandong Province (2016GGX105004).
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Zhang, T., Bi, J., Wang, P., Li, L. (2018). Modeling and Analysis of the Driving Range for Electric Passenger Vehicles Based on Robust Regression Analysis. In: Deng, Z. (eds) Proceedings of 2017 Chinese Intelligent Automation Conference. CIAC 2017. Lecture Notes in Electrical Engineering, vol 458. Springer, Singapore. https://doi.org/10.1007/978-981-10-6445-6_33
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DOI: https://doi.org/10.1007/978-981-10-6445-6_33
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