Contrastive Study on Torque Distribution of Distributed Drive Electric Vehicle under Different Control Methods
This paper uses certain hub motor distributed electric vehicle driving system as the research object, using several control strategies, such as dynamic programming global optimization algorithm, fuzzy control, and torque equal distribution and realizing the distribution control of the distributed po...
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Journal of Control Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2017/2494712 |
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| _version_ | 1849397860794105856 |
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| author | Xiao-gang Wu Dian-yu Zheng |
| author_facet | Xiao-gang Wu Dian-yu Zheng |
| author_sort | Xiao-gang Wu |
| collection | DOAJ |
| description | This paper uses certain hub motor distributed electric vehicle driving system as the research object, using several control strategies, such as dynamic programming global optimization algorithm, fuzzy control, and torque equal distribution and realizing the distribution control of the distributed power of the electric drive system. The simulation results show that, under the NEDC road condition, using the dynamic programming algorithm to optimize the torque distribution, the energy consumption of the electric drive system is 8041 kJ, decreased by 4.77% compared to the average torque distribution control and decreased by 3.5% compared to the fuzzy control strategy. The power consumption of the electric vehicle is 20.25 kWh per 100 km, decreased by 1.01 kWh compared to the average torque distribution control strategy and decreased by 0.72 kWh compared to the fuzzy control strategy. Under the fixed working condition, the energy efficiency of power system can be improved effectively when the distributed dynamic system torque is optimized by the dynamic programming algorithm. Without considering the global optimization, the fuzzy control can effectively improve the energy efficiency of the power system compared to the torque average distribution strategy. |
| format | Article |
| id | doaj-art-a7b5d2cbe3d345dba08872e51d2a44fe |
| institution | Kabale University |
| issn | 1687-5249 1687-5257 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Control Science and Engineering |
| spelling | doaj-art-a7b5d2cbe3d345dba08872e51d2a44fe2025-08-20T03:38:49ZengWileyJournal of Control Science and Engineering1687-52491687-52572017-01-01201710.1155/2017/24947122494712Contrastive Study on Torque Distribution of Distributed Drive Electric Vehicle under Different Control MethodsXiao-gang Wu0Dian-yu Zheng1Electrical and Electronic Engineering College, Harbin University of Science and Technology, Harbin 150080, ChinaElectrical and Electronic Engineering College, Harbin University of Science and Technology, Harbin 150080, ChinaThis paper uses certain hub motor distributed electric vehicle driving system as the research object, using several control strategies, such as dynamic programming global optimization algorithm, fuzzy control, and torque equal distribution and realizing the distribution control of the distributed power of the electric drive system. The simulation results show that, under the NEDC road condition, using the dynamic programming algorithm to optimize the torque distribution, the energy consumption of the electric drive system is 8041 kJ, decreased by 4.77% compared to the average torque distribution control and decreased by 3.5% compared to the fuzzy control strategy. The power consumption of the electric vehicle is 20.25 kWh per 100 km, decreased by 1.01 kWh compared to the average torque distribution control strategy and decreased by 0.72 kWh compared to the fuzzy control strategy. Under the fixed working condition, the energy efficiency of power system can be improved effectively when the distributed dynamic system torque is optimized by the dynamic programming algorithm. Without considering the global optimization, the fuzzy control can effectively improve the energy efficiency of the power system compared to the torque average distribution strategy.http://dx.doi.org/10.1155/2017/2494712 |
| spellingShingle | Xiao-gang Wu Dian-yu Zheng Contrastive Study on Torque Distribution of Distributed Drive Electric Vehicle under Different Control Methods Journal of Control Science and Engineering |
| title | Contrastive Study on Torque Distribution of Distributed Drive Electric Vehicle under Different Control Methods |
| title_full | Contrastive Study on Torque Distribution of Distributed Drive Electric Vehicle under Different Control Methods |
| title_fullStr | Contrastive Study on Torque Distribution of Distributed Drive Electric Vehicle under Different Control Methods |
| title_full_unstemmed | Contrastive Study on Torque Distribution of Distributed Drive Electric Vehicle under Different Control Methods |
| title_short | Contrastive Study on Torque Distribution of Distributed Drive Electric Vehicle under Different Control Methods |
| title_sort | contrastive study on torque distribution of distributed drive electric vehicle under different control methods |
| url | http://dx.doi.org/10.1155/2017/2494712 |
| work_keys_str_mv | AT xiaogangwu contrastivestudyontorquedistributionofdistributeddriveelectricvehicleunderdifferentcontrolmethods AT dianyuzheng contrastivestudyontorquedistributionofdistributeddriveelectricvehicleunderdifferentcontrolmethods |