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- W3142462604 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." @default.
- W3142462604 created "2021-04-13" @default.
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- W3142462604 date "2021-04-06" @default.
- W3142462604 modified "2023-10-14" @default.
- W3142462604 title "Multi-objective optimization of gearshift trajectory planning for multi-speed electric vehicles" @default.
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- W3142462604 doi "https://doi.org/10.1080/0305215x.2021.1902513" @default.
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