Accuracy Evaluation by GPS Data Correction for the EV Energy Consumption Database
Accuracy Evaluation by GPS Data Correction for the EV Energy Consumption Database
复制标题
电动汽车能耗数据库GPS数据校正精度评估
DOI：
10.1145/3004010.3004044
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
and Takashi Tomii
中科院分区：
文献类型：
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作者：
Toshiaki Uemura;Yuta Kashiwabara;Daiki Kawanuma;and Takashi Tomii
电动汽车（EV）由于具有大容量电池，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EV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，即能源消耗数据库系统（ECOCONIC），用于存储通过安装在车辆中的智能手机获取的车辆日常日志。电能消耗估计从GPS坐标数据使用EV能量消耗模型。这项研究专门研究了每天使用同一路线的车辆通勤。通过地图匹配对GPS坐标数据进行校正，并将校正后的数据输入到电动汽车能耗模型中。我们将EV CAN获取的剩余电池容量数据视为正确数据。然后，我们使用校正后的GPS坐标数据评估驾驶能耗日志的准确性。
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.