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Research on integration simulation and balance control of a novel load isolated pure electric driving system

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  • Hong, Jichao
  • Wang, Zhenpo
  • Zhang, Tiezhu
  • Yin, Huaixian
  • Zhang, Hongxin
  • Huo, Wei
  • Zhang, Yi
  • Li, Yuanyuan

Abstract

Battery safety and driving range hinder the development of electric vehicles (EVs). This paper proposes a novel dynamic driving system-load isolated pure electric driving (LIPED) system. Keep working in its most economical point/area as energy source, a generator set is integrated and completely isolated from driving load. Two battery packs can be intelligently switched to ensure stable and sufficient power/energy supplying within their optimal discharge depths. A LIPED-EV prototype model on the basis of a light truck is developed by matching various components parameters of the power system, and the feasibility and superiority of the LIPED system are verified through performance simulations on power and economy performance. The comprehensive fuel consumption saves 17.4% compared with the prototype car. Besides, a collaborative driving control strategy is developed based on nine state of charge (SOC) combinations and five driving conditions. Additionally, to realize rapid SOC balancing of battery modules and adaptively recover braking energy, a discrete-input series-output battery grouping system is proposed via adopting a flip-up four-quadrant topology. The SOC convergence effects in various situations such as congenital inconsistency and voltage surge after module exits are also verified through multiple sets of experiments under the new European driving cycle.

Suggested Citation

  • Hong, Jichao & Wang, Zhenpo & Zhang, Tiezhu & Yin, Huaixian & Zhang, Hongxin & Huo, Wei & Zhang, Yi & Li, Yuanyuan, 2019. "Research on integration simulation and balance control of a novel load isolated pure electric driving system," Energy, Elsevier, vol. 189(C).
    • Handle: RePEc:eee:energy:v:189:y:2019:i:c:s0360544219319152
    DOI: 10.1016/j.energy.2019.116220
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    References listed on IDEAS

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    Cited by:

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    2. Jichao Hong & Fengwei Liang & Xun Gong & Xiaoming Xu & Quanqing Yu, 2022. "Accurate State of Charge Estimation for Real-World Battery Systems Using a Novel Grid Search and Cross Validated Optimised LSTM Neural Network," Energies, MDPI, vol. 15(24), pages 1-14, December.
    3. Li, Lin & Zhang, Tiezhu & Lu, Liqun & Zhang, Hongxin & Yang, Jian & Zhang, Zhen, 2023. "An energy active regulation management strategy based on driving mode recognition for electro-hydraulic hybrid vehicles," Energy, Elsevier, vol. 285(C).
    4. Yang, Jian & Zhang, Tiezhu & Hong, Jichao & Zhang, Hongxin & Zhao, Qinghai & Meng, Zewen, 2021. "Research on driving control strategy and Fuzzy logic optimization of a novel mechatronics-electro-hydraulic power coupling electric vehicle," Energy, Elsevier, vol. 233(C).
    5. Zewen Meng & Tiezhu Zhang & Hongxin Zhang & Qinghai Zhao & Jian Yang, 2021. "Energy Management Strategy for an Electromechanical-Hydraulic Coupled Power Electric Vehicle Considering the Optimal Speed Threshold," Energies, MDPI, vol. 14(17), pages 1-12, August.
    6. Jian Yang & Tiezhu Zhang & Hongxin Zhang & Jichao Hong & Zewen Meng, 2020. "Research on the Starting Acceleration Characteristics of a New Mechanical–Electric–Hydraulic Power Coupling Electric Vehicle," Energies, MDPI, vol. 13(23), pages 1-20, November.
    7. Yun Sun & Hongxin Zhang & Zhen Liang & Jian Yang, 2021. "Design Optimization of Electrodynamic Structure of Permanent Magnet Piston Mechanical Electric Engine," Energies, MDPI, vol. 14(19), pages 1-20, October.

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