基于地理信息系统和用户驾驶数据的电动汽车行驶耗电量估算系统标准化方法构建

A. Shiota, Shun Nakayama, Hiroki Iwai, Keita Tsuruhara, T. Kerdphol, Y. Mitani
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引用次数: 0

摘要

近年来,由于二氧化碳等温室气体的影响,全球变暖正在加剧。因此,在汽车领域,已经进行了排放控制。然后,汽车制造商们开始关注电动汽车的发展。与内燃机汽车相比,这种发展还存在着行驶里程短、充电时间长、充电基础设施少等令人担忧的问题。此外,电动汽车还提供了再生制动系统等特殊功能。因此,我们的研究团队利用地理信息系统、道路网络、高程模型和电动汽车驾驶数据,分别推导出每种车型的估计功耗方程。利用该公式构建了电动汽车电动动力管理的驱动支撑系统。本研究在借鉴前人研究成果的基础上,对估算功耗公式的推导方法进行了规范化。此外,本研究构建了一种收集用户驾驶数据的机制,回顾了电动汽车售出后的估计功耗公式。在估计功耗的准确性验证中,将系统计算的估计值与实测值和WLTC值进行比较。结果证实,可以减小误差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction of Standardization Method of Estimated Power Consumption System by Driving of EV using Geographic Information System and User's Driving Data
In recent years, global warming is increasing due to the influence of greenhouse gas such as carbon dioxide. Therefore, in the automotive field, emission control has been conducted. Then, automakers are focusing on the EV development. This development still has some concern problems such as a short-distance driving range, long-period charging time, and small amount of charging infrastructure compared with the internal combustion engine vehicle. In addition, EV offers a special feature such as regenerative braking systems. Accordingly, our research team has used the Geographic Information System, road networks, elevation models, and EV driving data to derive the equations of estimated power consumption for each vehicle type individually. The driving support system that manages electric power of EV using this formula is constructed. This research standardized the derivation method of estimated power consumption formula based on previous research achievement. Furthermore, this research constructed a mechanism to collect driving data of the user, reviewing the estimated power consumption formula after the EV was sold. In the accuracy verification of the estimated power consumption, the estimated value calculated by the system was compared with the measured value and the WLTC value. As a result, it was confirmed that to reduce the error.
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