Modelling and testing of in-wheel motor drive intelligent electric vehicles based on co-simulation with Carsim/Simulink
- Author(s): Yong Li 1 ; Huifan Deng 2 ; Xing Xu 1 ; Wujie Wang 2
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View affiliations
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Affiliations:
1:
Automotive Engineering Research Institute, Jiangsu University , Zhenjiang 212013 , People's Republic of China ;
2: School of Automotive and Traffic Engineering , Jiangsu University , Zhenjiang 212013 , People's Republic of China
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Affiliations:
1:
Automotive Engineering Research Institute, Jiangsu University , Zhenjiang 212013 , People's Republic of China ;
- Source:
Volume 13, Issue 1,
January
2019,
p.
115 – 123
DOI: 10.1049/iet-its.2018.5047 , Print ISSN 1751-956X, Online ISSN 1751-9578
To study the overall performance of the distributed drive intelligent electric vehicle (EV), a in-wheel motor drive (IWMD) vehicle is developed in this study. The configuration and 11-degrees of freedom model of IWMD EV is introduced firstly. Then, the co-simulation model of IWMD EV based on Carsim and Matlab/Simulink is established. The block design is employed for the co-simulation modelling, including the in-wheel motor model, driver model, tyre model, steering model, braking model, suspension model, aerodynamic model, and road surface model. The effectiveness and the reasonableness of the co-simulation model of IWMD EV are verified by the snake testing with on the campus road. The co-simulation model provides accuracy and reliable simulation method for the path-tracking and self-driving study of IWMD intelligent vehicle in the future.
Inspec keywords: tyres; electric vehicles; vehicle dynamics; road vehicles; digital simulation; aerodynamics; steering systems; mechanical engineering computing; automotive engineering; suspensions (mechanical components); wheels; motor drives
Other keywords: tyre model; distributed drive intelligent electric vehicle; aerodynamic model; road surface model; suspension model; freedom model; in-wheel motor model; driver model; in-wheel motor drive vehicle; self-driving study; co-simulation modelling; IWMD intelligent vehicle; IWMD EV; in-wheel motor drive intelligent electric vehicles
Subjects: Transportation; Mechanical components; Vehicle mechanics; Automobile industry; Fluid mechanics and aerodynamics (mechanical engineering); Mechanical engineering applications of IT; Civil and mechanical engineering computing; Drives
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