{"title":"An Optimized Power-Split Method Based on Fuzzy Logic Control for Fuel Cell-Battery FCHEV Powertrain","authors":"Yao Zhang, Xin Zhang","doi":"10.1109/SPEC.2018.8635961","DOIUrl":null,"url":null,"abstract":"Fuel-cell vehicles have the potential to revolutionize transportation. An Energy Management System (EMS) for power-split with fuzzy logic control (FLC) for Fuel Cell Hybrid Electric Vehicles (FCHEV) powertrain is proposed in this paper. A comprehensive analysis of powertrain for EMS including motor, power electronic converter, mechanical system, physical components, is presented, different simulation time-step and all kinds of drive operation conditions are fully considered as well. The regenerative power control and battery local energy controller is introduced to make sure the SOC of battery is adjustable without over-voltage and under-voltage. The simulation results show that the optimized method can keep battery SOC work at expected level, absorb the maximum regenerative braking energy, and reduce the dynamic load of fuel cell to avoid the fuel-starvation phenome.","PeriodicalId":335893,"journal":{"name":"2018 IEEE 4th Southern Power Electronics Conference (SPEC)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 4th Southern Power Electronics Conference (SPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPEC.2018.8635961","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Fuel-cell vehicles have the potential to revolutionize transportation. An Energy Management System (EMS) for power-split with fuzzy logic control (FLC) for Fuel Cell Hybrid Electric Vehicles (FCHEV) powertrain is proposed in this paper. A comprehensive analysis of powertrain for EMS including motor, power electronic converter, mechanical system, physical components, is presented, different simulation time-step and all kinds of drive operation conditions are fully considered as well. The regenerative power control and battery local energy controller is introduced to make sure the SOC of battery is adjustable without over-voltage and under-voltage. The simulation results show that the optimized method can keep battery SOC work at expected level, absorb the maximum regenerative braking energy, and reduce the dynamic load of fuel cell to avoid the fuel-starvation phenome.