Parameter Matching and Optimization of Electric Vehicle Powertrain
Taking a pure electric vehicle as the research object， the optimization of power system parameters is analyzed. Based on the energy transfer of the whole vehicle， a preliminary parameter matching method is developed to meet the performance design target. By establishing the simulation model in Cruis...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2019-02-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.02.024 |
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| _version_ | 1841548800883163136 |
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| author | Qinyu Niu Zhenxi Li Zhichao Wang Haibo Tian |
| author_facet | Qinyu Niu Zhenxi Li Zhichao Wang Haibo Tian |
| author_sort | Qinyu Niu |
| collection | DOAJ |
| description | Taking a pure electric vehicle as the research object， the optimization of power system parameters is analyzed. Based on the energy transfer of the whole vehicle， a preliminary parameter matching method is developed to meet the performance design target. By establishing the simulation model in Cruise and the vehicle control strategy in MATLAB， the Cruise-MATLAB/Simulink co-simulation is realized， and the rationality of the model is verified. Nonlinear weighted particle swarm optimization （NWPSO） is used to decouple the parameters and realize the global optimization with the vehicle economy as the optimization objective and the coupling relationship among the parameters as the constraints. The results before and after optimization are compared and analyzed by simulation. The results show that the power performance of the whole vehicle is basically unchanged， but the economic performance is improved significantly. The correctness and feasibility of the matching optimization method are verified， which makes the matching of vehicle power system parameters more reasonable. |
| format | Article |
| id | doaj-art-efa7968d8d3f430e9b690a3d85e2ddcf |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2019-02-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-efa7968d8d3f430e9b690a3d85e2ddcf2025-01-10T14:02:13ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392019-02-014312913630639145Parameter Matching and Optimization of Electric Vehicle PowertrainQinyu NiuZhenxi LiZhichao WangHaibo TianTaking a pure electric vehicle as the research object， the optimization of power system parameters is analyzed. Based on the energy transfer of the whole vehicle， a preliminary parameter matching method is developed to meet the performance design target. By establishing the simulation model in Cruise and the vehicle control strategy in MATLAB， the Cruise-MATLAB/Simulink co-simulation is realized， and the rationality of the model is verified. Nonlinear weighted particle swarm optimization （NWPSO） is used to decouple the parameters and realize the global optimization with the vehicle economy as the optimization objective and the coupling relationship among the parameters as the constraints. The results before and after optimization are compared and analyzed by simulation. The results show that the power performance of the whole vehicle is basically unchanged， but the economic performance is improved significantly. The correctness and feasibility of the matching optimization method are verified， which makes the matching of vehicle power system parameters more reasonable.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.02.024Pure electric vehicleParameter matchingMulti work conditionCruise-MATLAB/Simulink collaborative simulationNonlinear weighted particle swarm optimization algorithm |
| spellingShingle | Qinyu Niu Zhenxi Li Zhichao Wang Haibo Tian Parameter Matching and Optimization of Electric Vehicle Powertrain Jixie chuandong Pure electric vehicle Parameter matching Multi work condition Cruise-MATLAB/Simulink collaborative simulation Nonlinear weighted particle swarm optimization algorithm |
| title | Parameter Matching and Optimization of Electric Vehicle Powertrain |
| title_full | Parameter Matching and Optimization of Electric Vehicle Powertrain |
| title_fullStr | Parameter Matching and Optimization of Electric Vehicle Powertrain |
| title_full_unstemmed | Parameter Matching and Optimization of Electric Vehicle Powertrain |
| title_short | Parameter Matching and Optimization of Electric Vehicle Powertrain |
| title_sort | parameter matching and optimization of electric vehicle powertrain |
| topic | Pure electric vehicle Parameter matching Multi work condition Cruise-MATLAB/Simulink collaborative simulation Nonlinear weighted particle swarm optimization algorithm |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.02.024 |
| work_keys_str_mv | AT qinyuniu parametermatchingandoptimizationofelectricvehiclepowertrain AT zhenxili parametermatchingandoptimizationofelectricvehiclepowertrain AT zhichaowang parametermatchingandoptimizationofelectricvehiclepowertrain AT haibotian parametermatchingandoptimizationofelectricvehiclepowertrain |