{"title":"基于规则的P0轻度混合动力汽车燃油效率改进算法","authors":"I. Jang, Sung-Ho Hwang","doi":"10.11159/icaera21.105","DOIUrl":null,"url":null,"abstract":"- In this paper, the rule-based control algorithm for 48V Mild Hybrid Electric Vehicle (mHEV) for improving fuel economy was proposed. Control modes are composed of Idle-Stop-and-Go (ISG), Alternating, Regenerative braking, and Boosting. State Machine determines each control mode. For comparison of the fuel economy improvement, the vehicle tests on the vehicle dynamometer were conducted. The test results of the proposed algorithm were compared with the vehicle's fuel economy with ISG as a baseline. As a result, the proposed algorithm improves the fuel economy by 4.5% in the WLTC cycle.","PeriodicalId":140403,"journal":{"name":"Proceedings of the 2nd International Conference on Advances in Energy Research and Applications (ICAERA'21)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fuel Efficiency Improvement of Rule-based Algorithm for P0 Mild Hybrid Electric Vehicle\",\"authors\":\"I. Jang, Sung-Ho Hwang\",\"doi\":\"10.11159/icaera21.105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"- In this paper, the rule-based control algorithm for 48V Mild Hybrid Electric Vehicle (mHEV) for improving fuel economy was proposed. Control modes are composed of Idle-Stop-and-Go (ISG), Alternating, Regenerative braking, and Boosting. State Machine determines each control mode. For comparison of the fuel economy improvement, the vehicle tests on the vehicle dynamometer were conducted. The test results of the proposed algorithm were compared with the vehicle's fuel economy with ISG as a baseline. As a result, the proposed algorithm improves the fuel economy by 4.5% in the WLTC cycle.\",\"PeriodicalId\":140403,\"journal\":{\"name\":\"Proceedings of the 2nd International Conference on Advances in Energy Research and Applications (ICAERA'21)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd International Conference on Advances in Energy Research and Applications (ICAERA'21)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11159/icaera21.105\",\"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 2nd International Conference on Advances in Energy Research and Applications (ICAERA'21)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11159/icaera21.105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuel Efficiency Improvement of Rule-based Algorithm for P0 Mild Hybrid Electric Vehicle
- In this paper, the rule-based control algorithm for 48V Mild Hybrid Electric Vehicle (mHEV) for improving fuel economy was proposed. Control modes are composed of Idle-Stop-and-Go (ISG), Alternating, Regenerative braking, and Boosting. State Machine determines each control mode. For comparison of the fuel economy improvement, the vehicle tests on the vehicle dynamometer were conducted. The test results of the proposed algorithm were compared with the vehicle's fuel economy with ISG as a baseline. As a result, the proposed algorithm improves the fuel economy by 4.5% in the WLTC cycle.
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