Hang Li, Jianqiu Li, Jiayi Hu, Jingkang Li, Zunyan Hu, Liangfei Xu, M. Ouyang
{"title":"燃料电池混合动力汽车驱动与制动协调控制建模与仿真","authors":"Hang Li, Jianqiu Li, Jiayi Hu, Jingkang Li, Zunyan Hu, Liangfei Xu, M. Ouyang","doi":"10.1109/CVCI51460.2020.9338542","DOIUrl":null,"url":null,"abstract":"The fuel cell hybrid electric vehicle (FCHEV) is a new type of vehicle with the advantages of high efficiency and environmental protection. As the government and society pay more and more attention to environmental and energy issues, the development of FCHEV has entered an important stage. The control algorithm of FCHEV is a key technology of new energy vehicles and requires research. This research mainly focuses on the power system modeling and the longitudinal dynamics control and simulation of FCHEV. Based on the tire model, a new slip ratio estimation strategy was proposed. The target drive torque control algorithm and the anti-slip control algorithm adopt the feedforward control and Proportional-integral feedback control. The hydraulic braking force and the regenerative braking force were distributed to ensure that the motor exerts the maximum regenerative braking capability, while the braking force distribution meets the requirements of the ECE braking regulations. On the MATLAB/Simulink software platform, a FCHEV power system model and a coordinated driving and braking control model were established. Through simulations in different working conditions, this paper proved the performance of the new slip ratio estimation algorithm and the feasibility of the dynamics control algorithm.","PeriodicalId":119721,"journal":{"name":"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling and simulation of coordinated driving and braking control for fuel cell hybrid electric vehicle\",\"authors\":\"Hang Li, Jianqiu Li, Jiayi Hu, Jingkang Li, Zunyan Hu, Liangfei Xu, M. Ouyang\",\"doi\":\"10.1109/CVCI51460.2020.9338542\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The fuel cell hybrid electric vehicle (FCHEV) is a new type of vehicle with the advantages of high efficiency and environmental protection. As the government and society pay more and more attention to environmental and energy issues, the development of FCHEV has entered an important stage. The control algorithm of FCHEV is a key technology of new energy vehicles and requires research. This research mainly focuses on the power system modeling and the longitudinal dynamics control and simulation of FCHEV. Based on the tire model, a new slip ratio estimation strategy was proposed. The target drive torque control algorithm and the anti-slip control algorithm adopt the feedforward control and Proportional-integral feedback control. The hydraulic braking force and the regenerative braking force were distributed to ensure that the motor exerts the maximum regenerative braking capability, while the braking force distribution meets the requirements of the ECE braking regulations. On the MATLAB/Simulink software platform, a FCHEV power system model and a coordinated driving and braking control model were established. Through simulations in different working conditions, this paper proved the performance of the new slip ratio estimation algorithm and the feasibility of the dynamics control algorithm.\",\"PeriodicalId\":119721,\"journal\":{\"name\":\"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CVCI51460.2020.9338542\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CVCI51460.2020.9338542","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling and simulation of coordinated driving and braking control for fuel cell hybrid electric vehicle
The fuel cell hybrid electric vehicle (FCHEV) is a new type of vehicle with the advantages of high efficiency and environmental protection. As the government and society pay more and more attention to environmental and energy issues, the development of FCHEV has entered an important stage. The control algorithm of FCHEV is a key technology of new energy vehicles and requires research. This research mainly focuses on the power system modeling and the longitudinal dynamics control and simulation of FCHEV. Based on the tire model, a new slip ratio estimation strategy was proposed. The target drive torque control algorithm and the anti-slip control algorithm adopt the feedforward control and Proportional-integral feedback control. The hydraulic braking force and the regenerative braking force were distributed to ensure that the motor exerts the maximum regenerative braking capability, while the braking force distribution meets the requirements of the ECE braking regulations. On the MATLAB/Simulink software platform, a FCHEV power system model and a coordinated driving and braking control model were established. Through simulations in different working conditions, this paper proved the performance of the new slip ratio estimation algorithm and the feasibility of the dynamics control algorithm.