A. Shiota, Shun Nakayama, Hiroki Iwai, Keita Tsuruhara, T. Kerdphol, Y. Mitani
{"title":"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","authors":"A. Shiota, Shun Nakayama, Hiroki Iwai, Keita Tsuruhara, T. Kerdphol, Y. Mitani","doi":"10.1145/3362752.3362754","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":430178,"journal":{"name":"Proceedings of the 2019 2nd International Conference on Electronics and Electrical Engineering Technology","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Construction of Standardization Method of Estimated Power Consumption System by Driving of EV using Geographic Information System and User's Driving Data\",\"authors\":\"A. Shiota, Shun Nakayama, Hiroki Iwai, Keita Tsuruhara, T. Kerdphol, Y. Mitani\",\"doi\":\"10.1145/3362752.3362754\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":430178,\"journal\":{\"name\":\"Proceedings of the 2019 2nd International Conference on Electronics and Electrical Engineering Technology\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 2nd International Conference on Electronics and Electrical Engineering Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3362752.3362754\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 2nd International Conference on Electronics and Electrical Engineering Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3362752.3362754","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.