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An investigation of hybrid energy storage system in multi-speed electric vehicle

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  • Ruan, Jiageng
  • Walker, Paul David
  • Zhang, Nong
  • Wu, Jinglai

Abstract

Thanks to the lower overall emission of Electric Vehicles, the promising transportation has attracted numerous attentions from industry and academy. However, as a consequence of lower energy density in widely adopted electrochemical energy source-battery, the driving range per charge presents a major barrier for electric vehicle's large-scale commercialization. Additionally, the limited battery life and extra costs associated with its replacement are other negative factors that hinder the development of electric vehicle. Currently, the one-speed gearbox is dominant in electric vehicles' market though it is only a trade-off between manufacturing cost and vehicle performance. Therefore, multi-speed electrified powertrains have been proposed and investigated in this paper to pursue the improvement of energy efficiency and dynamic performance without increasing battery size. In addition, supercapacitor, as the supplementary to battery, is combined with multi-speed transmissions to improve driving range and battery life. The combination of two advanced technologies are investigated in both B and E-class electric vehicle. Results demonstrate that considerable benefits attained for both small and large passenger vehicles through the application of multi-speed transmissions. The effectiveness of hybrid energy storage system in protecting battery from damage is verified. The relationship of hybrid energy storage system and multi-speed transmission is reported.

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  • 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.
    • Handle: RePEc:eee:energy:v:140:y:2017:i:p1:p:291-306
    DOI: 10.1016/j.energy.2017.08.119
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    References listed on IDEAS

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    Cited by:

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    9. Gao, Bingzhao & Meng, Dele & Shi, Wentong & Cai, Wenqi & Dong, Shiying & Zhang, Yuanjian & Chen, Hong, 2022. "Topology optimization and the evolution trends of two-speed transmission of EVs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
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    12. Wang, Y. & Qiao, X. & Zhang, C. & Zhou, Xiangyang, 2018. "Self-discharge of a hybrid supercapacitor with incorporated galvanic cell components," Energy, Elsevier, vol. 159(C), pages 1035-1045.
    13. Hongqiang Guo & Jinyong Shangguan & Juan Tang & Qun Sun & Hongting Wu, 2018. "Receding horizon control strategy for an electric vehicle with dual-motor coupling system in consideration of stochastic vehicle mass," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-20, October.
    14. Sellali, M. & Betka, A. & Drid, S. & Djerdir, A. & Allaoui, L. & Tiar, M., 2019. "Novel control implementation for electric vehicles based on fuzzy -back stepping approach," Energy, Elsevier, vol. 178(C), pages 644-655.
    15. Aissa Benhammou & Hamza Tedjini & Mohammed Amine Hartani & Rania M. Ghoniem & Ali Alahmer, 2023. "Accurate and Efficient Energy Management System of Fuel Cell/Battery/Supercapacitor/AC and DC Generators Hybrid Electric Vehicles," Sustainability, MDPI, vol. 15(13), pages 1-27, June.
    16. Ying Yang & Zhenpo Wang & Shuo Wang & Ni Lin, 2022. "An Investigation of Opportunity Charging with Hybrid Energy Storage System on Electric Bus with Two-Speed Transmission," Sustainability, MDPI, vol. 14(19), pages 1-13, September.
    17. 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).
    18. 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).
    19. Bouguenna, Ibrahim Farouk & Azaiz, Ahmed & Tahour, Ahmed & Larbaoui, Ahmed, 2019. "Robust neuro-fuzzy sliding mode control with extended state observer for an electric drive system," Energy, Elsevier, vol. 169(C), pages 1054-1063.

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