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Energy efficiency optimization of Simpson planetary gearset based dual-motor powertrains for electric vehicles

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  • Hong, Xianqian
  • Wu, Jinglai
  • Zhang, Nong
  • Wang, Bing

Abstract

The improvement of powertrain energy efficiency is of great significance to improve the driving range of electric vehicles. This paper proposes four configurations of Simpson planetary gearset-based dual-motor powertrain (SPGDMP) and optimizes their parameters. The powertrain energy efficiency is obtained through the scalable motor model and the gear ratio-dependent transmission efficiency model. The influence of powertrain parameters is then analyzed to determine the design variables. An improved economic performance indicator with less computational cost is proposed, which can reduce the computational time by 98.82% compared with the conventional economic indicator calculated by the dynamic programming (DP) algorithm. Considering the trade-off between dynamic and economic performance, the multi-objective optimization model is proposed, which gains the discrete Pareto front by the NSGA-Ⅱ and makes the discrete Pareto front continuous by neural network fitting (NNF). The optimization results show that compared with a widely studied torque coupled dual-motor powertrain (TCDMP), SPGDMPs can reduce the energy consumption and motors power by at least 5.02% and 14.56%, respectively. The energy efficiency of SPGDMPs has a little improvement when the powertrain equips with more brakes.

Suggested Citation

  • Hong, Xianqian & Wu, Jinglai & Zhang, Nong & Wang, Bing, 2022. "Energy efficiency optimization of Simpson planetary gearset based dual-motor powertrains for electric vehicles," Energy, Elsevier, vol. 259(C).
    • Handle: RePEc:eee:energy:v:259:y:2022:i:c:s0360544222018102
    DOI: 10.1016/j.energy.2022.124908
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    References listed on IDEAS

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    1. Xie, Shaobo & Hu, Xiaosong & Xin, Zongke & Brighton, James, 2019. "Pontryagin’s Minimum Principle based model predictive control of energy management for a plug-in hybrid electric bus," Applied Energy, Elsevier, vol. 236(C), pages 893-905.
    2. Zhang, Shuo & Xiong, Rui & Zhang, Chengning, 2015. "Pontryagin’s Minimum Principle-based power management of a dual-motor-driven electric bus," Applied Energy, Elsevier, vol. 159(C), pages 370-380.
    3. Kwon, Kihan & Seo, Minsik & Min, Seungjae, 2020. "Efficient multi-objective optimization of gear ratios and motor torque distribution for electric vehicles with two-motor and two-speed powertrain system," Applied Energy, Elsevier, vol. 259(C).
    4. Kwon, Kihan & Jo, Junhyeong & Min, Seungjae, 2021. "Multi-objective gear ratio and shifting pattern optimization of multi-speed transmissions for electric vehicles considering variable transmission efficiency," Energy, Elsevier, vol. 236(C).
    5. Zhao, Mingjie & Shi, Junhui & Lin, Cheng, 2019. "Optimization of integrated energy management for a dual-motor coaxial coupling propulsion electric city bus," Applied Energy, Elsevier, vol. 243(C), pages 21-34.
    6. Ruan, Jiageng & Walker, Paul & Zhang, Nong, 2016. "A comparative study energy consumption and costs of battery electric vehicle transmissions," Applied Energy, Elsevier, vol. 165(C), pages 119-134.
    7. Ruan, Jiageng & Walker, Paul David & Zhang, Nong & Wu, Jinglai, 2017. "An investigation of hybrid energy storage system in multi-speed electric vehicle," Energy, Elsevier, vol. 140(P1), pages 291-306.
    8. Tu, Wei & Santi, Paolo & Zhao, Tianhong & He, Xiaoyi & Li, Qingquan & Dong, Lei & Wallington, Timothy J. & Ratti, Carlo, 2019. "Acceptability, energy consumption, and costs of electric vehicle for ride-hailing drivers in Beijing," Applied Energy, Elsevier, vol. 250(C), pages 147-160.
    9. Yuping Zeng & Zhikai Huang & Yang Cai & Yonggang Liu & Yue Xiao & Yang Shang, 2018. "A Control Strategy for Driving Mode Switches of Plug-in Hybrid Electric Vehicles," Sustainability, MDPI, vol. 10(11), pages 1-19, November.
    10. Yuan, Jingni & Yang, Lin, 2019. "Predictive energy management strategy for connected 48V hybrid electric vehicles," Energy, Elsevier, vol. 187(C).
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    3. Gobbi, Massimiliano & Sattar, Aqeab & Palazzetti, Roberto & Mastinu, Gianpiero, 2024. "Traction motors for electric vehicles: Maximization of mechanical efficiency – A review," Applied Energy, Elsevier, vol. 357(C).
    4. Chi T. P. Nguyen & Bảo-Huy Nguyễn & Minh C. Ta & João Pedro F. Trovão, 2023. "Dual-Motor Dual-Source High Performance EV: A Comprehensive Review," Energies, MDPI, vol. 16(20), pages 1-28, October.
    5. Tian, Yang & Zhang, Yahui & Li, Hongmin & Gao, Jinwu & Swen, Austin & Wen, Guilin, 2023. "Optimal sizing and energy management of a novel dual-motor powertrain for electric vehicles," Energy, Elsevier, vol. 275(C).
    6. 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).

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