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Multi-objective optimization of gearshift trajectory planning for multi-speed electric vehicles.
- Source :
- Engineering Optimization; Jun2022, Vol. 54 Issue 6, p949-972, 24p
- Publication Year :
- 2022
-
Abstract
- Multi-speed transmissions can enhance the comprehensive performance of electric vehicles (EVs), while exhibiting potential to further improve their shift quality. In this study, a gearshift control architecture combined with multi-objective trajectory planning was proposed for EVs with two-speed transmission. Three indices, namely shifting duration, jerk and friction work, were selected as optimization objectives. Numerous iterations of multi-objective optimization were conducted using the Legendre pseudospectral method, which is an optimization algorithm with high convergence speed and low sensitivity to initial values. Optimization results were presented through a Pareto solution set which was then used as a reference by the control architecture for optimal trajectory selection in the transmission control unit. In a hardware-in-the-loop experiment, the control architecture was applied in a passenger car to run the New European Driving Cycle, demonstrating the effectiveness and feasibility of the developed multi-objective trajectory planning and gearshift control architecture. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0305215X
- Volume :
- 54
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- Engineering Optimization
- Publication Type :
- Academic Journal
- Accession number :
- 157108211
- Full Text :
- https://doi.org/10.1080/0305215X.2021.1902513