{"title":"An Energy Management of Light Electric Vehicle","authors":"F. A. Azidin, M. A. Hannan, A. Mohamed","doi":"10.12720/SGCE.2.2.271-276","DOIUrl":null,"url":null,"abstract":"Oil depletion, global warming and CO2 gas emissions have become a concern and have motivated the development of an efficient and extendable energy management system (EMS) using renewable energy sources for light vehicles. In this paper, a state-based logic control algorithm is developed for a multi-source EMS for light electric vehicle, i.e., electric scooters. The multiple sources of energy, such as a battery, fuel cell (FC), and super-capacitor (SC), EMS and power controller are designed and modeled using MATLAB. The developed control strategies continuously support the EMS of the multiple sources of energy for a scooter under normal load conditions. The performance of the proposed system is analyzed and compared with that of the ECE-47 test drive cycle in terms of vehicle speed and load power. The results show that the designed vehicle’s speed and load power closely match those of the ECE-47 test driving cycle under normal conditions. This study results suggest that the proposed control algorithm provides an efficient and feasible EMS for light electric vehicles.","PeriodicalId":247617,"journal":{"name":"International Journal of Smart Grid and Clean Energy","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Smart Grid and Clean Energy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12720/SGCE.2.2.271-276","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
Oil depletion, global warming and CO2 gas emissions have become a concern and have motivated the development of an efficient and extendable energy management system (EMS) using renewable energy sources for light vehicles. In this paper, a state-based logic control algorithm is developed for a multi-source EMS for light electric vehicle, i.e., electric scooters. The multiple sources of energy, such as a battery, fuel cell (FC), and super-capacitor (SC), EMS and power controller are designed and modeled using MATLAB. The developed control strategies continuously support the EMS of the multiple sources of energy for a scooter under normal load conditions. The performance of the proposed system is analyzed and compared with that of the ECE-47 test drive cycle in terms of vehicle speed and load power. The results show that the designed vehicle’s speed and load power closely match those of the ECE-47 test driving cycle under normal conditions. This study results suggest that the proposed control algorithm provides an efficient and feasible EMS for light electric vehicles.