基于GPS数据校正的电动汽车能耗数据库精度评价

Toshiaki Uemura, Yuta Kashiwabara, Daiki Kawanuma, T. Tomii
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引用次数: 3

摘要

电动汽车的电池容量大,因此有望适用于智能电网。重要的是,智能电网用户能够在部署电动汽车之前估计剩余电池能量和/或剩余容量。我们构建了一个数据库——能源消耗日志(ECOLOG)数据库系统,用于存储放置在车内的智能手机获取的车辆日常日志。利用电动汽车能耗模型,从GPS坐标数据中估算电能消耗。这项研究专门调查了每天在同一条路线上使用车辆的通勤情况。通过地图匹配对GPS坐标数据进行校正,并将数据输入到电动汽车能耗模型中。我们认为EV CAN获取的剩余电池容量数据是正确的数据。然后利用修正后的GPS坐标数据,对估算的驾驶能耗日志的精度进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accuracy Evaluation by GPS Data Correction for the EV Energy Consumption Database
Electric vehicles (EVs) are expected to be applicable to smart grids because they have large-capacity batteries. It is important that smart grid users be able to estimate surplus battery energy and/or surplus capacity in advance of deploying EVs. We constructed a database, the Energy COnsumption LOG (ECOLOG) Database System, to store vehicle daily logs acquired by smartphones placed in vehicles. The electrical energy consumption is estimated from GPS coordinate data using an EV energy-consumption model. This research specifically examines commuting with a vehicle used for same route every day. We corrected GPS coordinate data by map matching, and input the data to the EV energy consumption model. We regard the remaining battery capacity data acquired by the EV CAN as correct data. Then we evaluate the accuracy of driving energy consumption logs as estimated using the corrected GPS coordinate data.
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