Modelling and analysis of split parallel hybrid electric vehicle based on 14 degrees of freedom
- Title
- Modelling and analysis of split parallel hybrid electric vehicle based on 14 degrees of freedom
- Creator
- Jose C.P.; Haneesh K.M.
- Description
- The paper studies the scope, performs the modelling and validation for conversion of any Convetional Vehicle to a Split Parallel Hybrid Electric Vehicle. The introduction of a smart Energy Management System for sucha setup is also evaluated. The EMS enables load sharing between the IC Engine and the Traction motor based on the gradient of the road. The gradient analysis is performed using the GPS based road gradient database. For the accurate modelling and the dynamic analysis of the designed model the performance of the vehicles Degrees of Freedom (DoF) for the variation in steering angle is analyzed. 14 DoF parameters are considered and the designed vehicle is subjected to variation in steer angle followed by the analysis on the response of the DoF parameters. BEIESP.
- Source
- International Journal of Innovative Technology and Exploring Engineering, Vol-8, No. 5, pp. 129-135.
- Date
- 2019-01-01
- Publisher
- Blue Eyes Intelligence Engineering and Sciences Publication
- Subject
- DoF; HEV; ICE; Reva-I; SoC
- Coverage
- Jose C.P., Department of Electrical & Electronics Engineering, Faculty of Engineering, Christ (Deemed to be University), Bangalore, India, Vellore Institute of Technology, India; Haneesh K.M., Department of Electrical & Electronics Engineering, Faculty of Engineering, Christ (Deemed to be University), Bangalore, India, Vellore Institute of Technology, India
- Rights
- Restricted Access
- Relation
- ISSN: 22783075
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Jose C.P.; Haneesh K.M., “Modelling and analysis of split parallel hybrid electric vehicle based on 14 degrees of freedom,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/16834.