An optimal structure selection and parameter design approach for a dual-motor-driven system used in an electric bus. (1st February 2016)
- Record Type:
- Journal Article
- Title:
- An optimal structure selection and parameter design approach for a dual-motor-driven system used in an electric bus. (1st February 2016)
- Main Title:
- An optimal structure selection and parameter design approach for a dual-motor-driven system used in an electric bus
- Authors:
- Zhang, Shuo
Xiong, Rui
Zhang, Chengning
Sun, Fengchun - Abstract:
- Abstract: A number of driving system topologies have been developed for electric vehicles, but the topology design and optimal sizing always challenge the performance of electric vehicles. This paper attempts to address three aspects. First, two novel topologies were derived from the original dual-motor-driven system, and the efficiency models of the system components were built, including motor efficiency, planet gear system efficiency and drag loss of the wet clutch. Second, a systematic optimal sizing framework was constructed. The feasible region of the design parameters was divided into a certain number of grid points, and each grid point represented different design results. Then, a dynamic programming algorithm was applied to each grid point to locate the optimal control strategy and obtain the best grid points under different power levels. After that, a bi-level optimization method was applied at these selected grid points to find the optimal design parameters. Last, the simulation results showed that, compared with the original design, the new topology with two clutches can reduce energy loss by 12.4%, and the optimal design results for the original topology can reduce energy loss by 3.36%. Highlights: A systematic bi-level design framework for a dual-motor driven system was developed. The scalable models including gear system, wet clutch and motors were built. Dual-motor driven system with two clutches shows better efficiency than one clutch. Decreasing the powerAbstract: A number of driving system topologies have been developed for electric vehicles, but the topology design and optimal sizing always challenge the performance of electric vehicles. This paper attempts to address three aspects. First, two novel topologies were derived from the original dual-motor-driven system, and the efficiency models of the system components were built, including motor efficiency, planet gear system efficiency and drag loss of the wet clutch. Second, a systematic optimal sizing framework was constructed. The feasible region of the design parameters was divided into a certain number of grid points, and each grid point represented different design results. Then, a dynamic programming algorithm was applied to each grid point to locate the optimal control strategy and obtain the best grid points under different power levels. After that, a bi-level optimization method was applied at these selected grid points to find the optimal design parameters. Last, the simulation results showed that, compared with the original design, the new topology with two clutches can reduce energy loss by 12.4%, and the optimal design results for the original topology can reduce energy loss by 3.36%. Highlights: A systematic bi-level design framework for a dual-motor driven system was developed. The scalable models including gear system, wet clutch and motors were built. Dual-motor driven system with two clutches shows better efficiency than one clutch. Decreasing the power level can improve the efficiency of dual-motor driven system. … (more)
- Is Part Of:
- Energy. Volume 96(2016)
- Journal:
- Energy
- Issue:
- Volume 96(2016)
- Issue Display:
- Volume 96, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 96
- Issue:
- 2016
- Issue Sort Value:
- 2016-0096-2016-0000
- Page Start:
- 437
- Page End:
- 448
- Publication Date:
- 2016-02-01
- Subjects:
- Dual-motor-driven -- Electric bus -- Bi-level optimal -- Dynamic programming
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Energy consumption -- Periodicals
333.7905 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.energy.2015.12.089 ↗
- Languages:
- English
- ISSNs:
- 0360-5442
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.445000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1876.xml