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An optimal structure selection and parameter design approach for a dual-motor-driven system used in an electric bus

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  • Zhang, Shuo
  • Xiong, Rui
  • Zhang, Chengning
  • Sun, Fengchun

Abstract

A number of driving system topologies have been developed for electric vehicles, but the topology design and optimal sizing always challenge the performance of electric vehicles. This paper attempts to address three aspects. First, two novel topologies were derived from the original dual-motor-driven system, and the efficiency models of the system components were built, including motor efficiency, planet gear system efficiency and drag loss of the wet clutch. Second, a systematic optimal sizing framework was constructed. The feasible region of the design parameters was divided into a certain number of grid points, and each grid point represented different design results. Then, a dynamic programming algorithm was applied to each grid point to locate the optimal control strategy and obtain the best grid points under different power levels. After that, a bi-level optimization method was applied at these selected grid points to find the optimal design parameters. Last, the simulation results showed that, compared with the original design, the new topology with two clutches can reduce energy loss by 12.4%, and the optimal design results for the original topology can reduce energy loss by 3.36%.

Suggested Citation

  • Zhang, Shuo & Xiong, Rui & Zhang, Chengning & Sun, Fengchun, 2016. "An optimal structure selection and parameter design approach for a dual-motor-driven system used in an electric bus," Energy, Elsevier, vol. 96(C), pages 437-448.
    • Handle: RePEc:eee:energy:v:96:y:2016:i:c:p:437-448
    DOI: 10.1016/j.energy.2015.12.089
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    References listed on IDEAS

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    1. 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.
    2. Juul, Nina, 2012. "Battery prices and capacity sensitivity: Electric drive vehicles," Energy, Elsevier, vol. 47(1), pages 403-410.
    3. Amjad, Shaik & Rudramoorthy, R. & Neelakrishnan, S. & Sri Raja Varman, K. & Arjunan, T.V., 2011. "Evaluation of energy requirements for all-electric range of plug-in hybrid electric two-wheeler," Energy, Elsevier, vol. 36(3), pages 1623-1629.
    4. Hui, Sun & Lifu, Yang & Junqing, Jing, 2010. "Hydraulic/electric synergy system (HESS) design for heavy hybrid vehicles," Energy, Elsevier, vol. 35(12), pages 5328-5335.
    5. Chung, Cheng-Ta & Hung, Yi-Hsuan, 2015. "Performance and energy management of a novel full hybrid electric powertrain system," Energy, Elsevier, vol. 89(C), pages 626-636.
    6. Smith, William J., 2010. "Can EV (electric vehicles) address Ireland’s CO2 emissions from transport?," Energy, Elsevier, vol. 35(12), pages 4514-4521.
    7. Xu, Liangfei & Ouyang, Minggao & Li, Jianqiu & Yang, Fuyuan & Lu, Languang & Hua, Jianfeng, 2013. "Optimal sizing of plug-in fuel cell electric vehicles using models of vehicle performance and system cost," Applied Energy, Elsevier, vol. 103(C), pages 477-487.
    8. Nunes, Pedro & Farias, Tiago & Brito, Miguel C., 2015. "Enabling solar electricity with electric vehicles smart charging," Energy, Elsevier, vol. 87(C), pages 10-20.
    9. McManus, M.C., 2012. "Environmental consequences of the use of batteries in low carbon systems: The impact of battery production," Applied Energy, Elsevier, vol. 93(C), pages 288-295.
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    Cited by:

    1. Shiwei Xu & Lulu Wei & Xiaopeng Zhang & Zhifeng Bai & Yuan Jiao, 2022. "Research on Multi-Mode Drive Optimization Control Strategy of Four-Wheel-Drive Electric Vehicles with Multiple Motors," Sustainability, MDPI, vol. 14(12), pages 1-17, June.
    2. 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.
    3. 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).
    4. Ma, Shaohua & Wang, Shuli & Zhang, Chengning & Zhang, Shuo, 2017. "A method to improve the efficiency of an electric aircraft propulsion system," Energy, Elsevier, vol. 140(P1), pages 436-443.
    5. Lei, Fei & Bai, Yingchun & Zhu, Wenhao & Liu, Jinhong, 2019. "A novel approach for electric powertrain optimization considering vehicle power performance, energy consumption and ride comfort," Energy, Elsevier, vol. 167(C), pages 1040-1050.
    6. Zhang, Kaixuan & Ruan, Jiageng & Li, Tongyang & Cui, Hanghang & Wu, Changcheng, 2023. "The effects investigation of data-driven fitting cycle and deep deterministic policy gradient algorithm on energy management strategy of dual-motor electric bus," Energy, Elsevier, vol. 269(C).
    7. Wang, Zhenzhen & Zhou, Jun & Rizzoni, Giorgio, 2022. "A review of architectures and control strategies of dual-motor coupling powertrain systems for battery electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    8. Liu, Hui & Li, Xunming & Wang, Weida & Han, Lijin & Xiang, Changle, 2018. "Markov velocity predictor and radial basis function neural network-based real-time energy management strategy for plug-in hybrid electric vehicles," Energy, Elsevier, vol. 152(C), pages 427-444.
    9. Lei, Fei & Gu, Ke & Du, Bin & Xie, Xiaoping, 2017. "Comprehensive global optimization of an implicit constrained multi-physics system for electric vehicles with in-wheel motors," Energy, Elsevier, vol. 139(C), pages 523-534.
    10. Deping Wang & Changyang Guan & Junnian Wang & Haisheng Wang & Zhenhao Zhang & Dachang Guo & Fang Yang, 2023. "Review of Energy-Saving Technologies for Electric Vehicles, from the Perspective of Driving Energy Management," Sustainability, MDPI, vol. 15(9), pages 1-17, May.

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