To solve the torque distribution problem of pure electric commercial vehicles driven by dual motors, the fuzzy control strategy based on particle swarm optimization(PSO) was proposed. The physical model of the vehicle power system was established in Simulink/Stateflow software, and the vehicle torque was distributed based on PSO algorithm. Due to the large amount of calculation and being not suitable for the real vehicles, according to the calculation results of PSO algorithm and the traditional project experience, the fuzzy controller with real-time parameter adjustment was designed to carry out torque distribution with high running speed and basically global optimization effect of PSO. The verification and analysis results show that compared with the original single motor power system, the energy consumption of the dual motor power system is reduced by 12.08%. Compared with the average distribution control strategy, the total motor loss is reduced by 13.09% in dual motor power system.
Key words
pure electric commercial vehicle /
dual motor drive /
torque distribution /
particle swarm algorithm /
fuzzy control strategy
{{custom_keyword}} /
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
References
［1］漆星，王群京，陈龙，等. 前后轴双电机电动汽车转矩分配优化策略[J]. 电机与控制学报, 2020,24(3):62-70,78.
QI X, WANG Q J, CHEN L, et al. Optimization strategies of torque distribution for front and rear dual motor driven electric vehicles[J]. Electric Machines and Control, 2020,24(3):62-70,78.(in Chinese)
［2］宋振斌，李军伟，孙亮，等.双电机电动汽车驱动转矩分配策略研究[J].广西大学学报(自然科学版),2019,44(2):316-324.
SONG Z B, LI J W, SUN L, et al. Driving torque distribution strategy for dual-motor electric vehicles[J]. Journal of Guangxi University (Natural Science Edition), 2019,44(2):316-324.(in Chinese)
［3］牛礼民，张泉泉，朱奋田，等. 基于全局优化算法的增程式电动汽车模糊控制策略 [J]. 重庆交通大学学报(自然科学版), 2022,41(2):137-145.
NIU L M, ZHANG Q Q, ZHU F T, et al. Fuzzy control strategy for extended range electric vehicle based on global optimization algorithm[J]. Journal of Chongqing Jiaotong University(Natural Science), 2022,41(2):137-145.(in Chinese)
［4］ZHAO M J, SHI J H, LIN C. Energy management stra-tegy design for dual-motor coaxial coupling propulsion electric city-buses[J]. Energy Procedia, 2018，152（1）:568-573.
［5］WANG J N，GAO S L， WANG K, et al. Wheel torque distribution optimization of four-wheel independent-drive electric vehicle for energy efficient driving[J]. Control Engineering Practice， 2021,110：104779.
［6］余志生．汽车理论[M]．6版．北京：机械工业出版社，2019：7-8.
［7］ZHANG S, XIONG R, ZHANG C N. Pontryagin′s minimum principle-based power management of a dual-motor-driven electric bus[J]. Applied Energy, 2015，159（C）:370-380.
［8］吴迪瑞. 前后轴双电机驱动纯电动客车的动力匹配及控制策略研究[D]. 武汉：武汉理工大学, 2020.
［9］CAO K, HU M, WANG D, et al. All-wheel-drive torque distribution strategy for electric vehicle optimal efficiency considering tire slip[J]. IEEE Access， 2021,9：25245-25257.
［10］王琳，李军伟，朱青松，等.基于粒子群算法的电动客车双电机转矩分配策略[J].中国科技论文,2021,16(8):883-889.
WANG L, LI J W, ZHU Q S, et al. Torque distribution strategy of double motors in electric bus based on particle swarm oprimization[J]. China Sciencepaper, 2021,16(8):883-889.(in Chinese)
［11］KIM H W， AMARNATHVARMA A， KIM E, et al. A novel torque matching strategy for dual motor-based all-wheel-driving electric vehicles[J].Energies 2022,15（8）：2717.
［12］CHAE W C， BUM K K， KIM J S, et al. Optimized design to improve the efficiency of driving motors for electric vehicles and reduce costs[C]∥Proceedings of the KSAE 2016 Annual Spring Conference. Jeju, Korea：[s. n.],2016:19-21.
{{custom_fnGroup.title_en}}
Footnotes
{{custom_fn.content}}
Funding
广西重点研发计划项目（桂科AA22414）； 佛山仙湖实验室开放基金资助项目（41200303）
{{custom_fund}}
PDF(3935 KB)
