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Innovation design and optimization management of a new drive system for plug-in hybrid electric vehicles

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  • Zhang, LiPeng
  • Liu, Wei
  • Qi, Bingnan

Abstract

A multi-mode coupling drive system has been designed and controlled to improve the dynamic characteristics and fuel economy of plug-in hybrid electric vehicles, which also can make full use of the configured superiority of centralized drive systems and distributed drive systems and avoid their structural defects. The configuration evolution process, working mechanism and drive modes of the multi-mode coupling drive system are introduced. The powertrain model is established for the target vehicle. Based on Charge Depleting-Charge Sustaining energy management strategy, an Electric Vehicle-Charge Sustaining energy management strategy is developed. The Improved Real-valued Genetic Algorithm is used to optimize the system structural and control parameters, it can help prioritize the drive modes which are based on the proposed energy management strategy. While ensuring the vehicle dynamics, the best energy allocation is achieved. The results show that comparing with a series distributed drive hybrid system and the intelligent Multi-Mode Drive (i-MMD) hybrid system under the NEDC condition, the 100-km fuel consumption of the optimized multi-mode coupling drive system is reduced by 16.52% and 15.40%. Respectively, it further proves the superiority of the drive system in improving vehicle economy.

Suggested Citation

  • Zhang, LiPeng & Liu, Wei & Qi, Bingnan, 2019. "Innovation design and optimization management of a new drive system for plug-in hybrid electric vehicles," Energy, Elsevier, vol. 186(C).
    • Handle: RePEc:eee:energy:v:186:y:2019:i:c:s0360544219314951
    DOI: 10.1016/j.energy.2019.07.153
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    Citations

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    Cited by:

    1. Yang, Yang & He, Qiang & Fu, Chunyun & Liao, Shuiping & Tan, Peng, 2020. "Efficiency improvement of permanent magnet synchronous motor for electric vehicles," Energy, Elsevier, vol. 213(C).
    2. Yang, Chao & Wang, Muyao & Wang, Weida & Pu, Zesong & Ma, Mingyue, 2021. "An efficient vehicle-following predictive energy management strategy for PHEV based on improved sequential quadratic programming algorithm," Energy, Elsevier, vol. 219(C).
    3. Zhang, LiPeng & Liu, Wei & Qi, BingNan, 2020. "Energy optimization of multi-mode coupling drive plug-in hybrid electric vehicles based on speed prediction," Energy, Elsevier, vol. 206(C).
    4. Wu, Yitao & Zhang, Yuanjian & Li, Guang & Shen, Jiangwei & Chen, Zheng & Liu, Yonggang, 2020. "A predictive energy management strategy for multi-mode plug-in hybrid electric vehicles based on multi neural networks," Energy, Elsevier, vol. 208(C).
    5. Chung, Cheng-Ta & Wu, Chien-Hsun & Hung, Yi-Hsuan, 2020. "Evaluation of driving performance and energy efficiency for a novel full hybrid system with dual-motor electric drive and integrated input- and output-split e-CVT," Energy, Elsevier, vol. 191(C).
    6. Yang, Yalian & Li, Pengshuai & Pei, Huanxin & Zou, Yunge, 2022. "Design of all-wheel-drive power-split hybrid configuration schemes based on hierarchical topology graph theory," Energy, Elsevier, vol. 242(C).
    7. Chung, Cheng-Ta & Wu, Chien-Hsun & Hung, Yi-Hsuan, 2021. "A design methodology for selecting energy-efficient compound split e-CVT hybrid systems with planetary gearsets based on electric circulation," Energy, Elsevier, vol. 230(C).
    8. Hu, Jianjun & Guo, Qi & Sun, Zhicheng & Yang, Dianzhao, 2023. "Study on low-frequency torsional vibration suppression of integrated electric drive system considering nonlinear factors," Energy, Elsevier, vol. 284(C).
    9. Kim, Dong-Min & Lee, Soo-Gyung & Kim, Dae-Kee & Park, Min-Ro & Lim, Myung-Seop, 2022. "Sizing and optimization process of hybrid electric propulsion system for heavy-duty vehicle based on Gaussian process modeling considering traction motor characteristics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    10. Sun, Xilei & Zhou, Feng & Fu, Jianqin & Liu, Jingping, 2024. "Experiment and simulation study on energy flow characteristics of a battery electric vehicle throughout the entire driving range in low-temperature conditions," Energy, Elsevier, vol. 292(C).
    11. Wang, Shuai & Wu, Xiuheng & Zhao, Xueyan & Wang, Shilong & Xie, Bin & Song, Zhenghe & Wang, Dongqing, 2023. "Co-optimization energy management strategy for a novel dual-motor drive system of electric tractor considering efficiency and stability," Energy, Elsevier, vol. 281(C).
    12. Zhen Zhu & Yanpeng Yang & Dongqing Wang & Yingfeng Cai & Longhui Lai, 2022. "Energy Saving Performance of Agricultural Tractor Equipped with Mechanic-Electronic-Hydraulic Powertrain System," Agriculture, MDPI, vol. 12(3), pages 1-22, March.

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