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Considering Well-to-Wheels Analysis in Control Design: Regenerative Suspension Helps to Reduce Greenhouse Gas Emissions from Battery Electric Vehicles

Author

Listed:
  • Xu Hu

    (School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)

  • Jinwei Sun

    (School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)

  • Yisong Chen

    (School of Automobile, Chang’an University, Xi’an 710064, China)

  • Qiu Liu

    (School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)

  • Liang Gu

    (School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)

Abstract

Recent research has investigated the energy saving potential of regenerative suspension. However, the greenhouse gas (GHG) emission mitigation potential of regenerative suspension in battery electric vehicles (BEVs) has not been considered. Life cycle assessment (LCA) is a typical method for evaluating GHG emissions but is rarely used in vehicle control design. Here we explore the effects of regenerative suspension on reducing the GHG emissions from a BEV, whose control design considers well-to-wheels (WTW) analysis. The work first conducts the WTW analysis and modelling of the GHG emissions from a BEV equipped with regenerative suspension. Based on the models, the relation between suspension control parameters and GHG emissions is obtained. To reach a compromise between dynamic performance and environmental benefit, two types of control parameters are recommended and their switch rules during the operation are proposed. Finally, we take a case study with different driving cycles, road levels and country contexts. The results show that considering WTW analysis in control design can contribute to GHG emission mitigation, especially for countries that have a high-carbon intensity of the electricity grid. These findings provide a quantitative reference for technology path decision on regenerative suspension. This paper may provide a new insight for employing LCA in vehicle design.

Suggested Citation

  • Xu Hu & Jinwei Sun & Yisong Chen & Qiu Liu & Liang Gu, 2019. "Considering Well-to-Wheels Analysis in Control Design: Regenerative Suspension Helps to Reduce Greenhouse Gas Emissions from Battery Electric Vehicles," Energies, MDPI, vol. 12(13), pages 1-19, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:13:p:2594-:d:245939
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    References listed on IDEAS

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    1. Yuan, Xinmei & Li, Lili & Gou, Huadong & Dong, Tingting, 2015. "Energy and environmental impact of battery electric vehicle range in China," Applied Energy, Elsevier, vol. 157(C), pages 75-84.
    2. Lewis, Anne Marie & Kelly, Jarod C. & Keoleian, Gregory A., 2014. "Vehicle lightweighting vs. electrification: Life cycle energy and GHG emissions results for diverse powertrain vehicles," Applied Energy, Elsevier, vol. 126(C), pages 13-20.
    3. Wang, Dawei & Zamel, Nada & Jiao, Kui & Zhou, Yibo & Yu, Shuhai & Du, Qing & Yin, Yan, 2013. "Life cycle analysis of internal combustion engine, electric and fuel cell vehicles for China," Energy, Elsevier, vol. 59(C), pages 402-412.
    4. Shi, Dehua & Pisu, Pierluigi & Chen, Long & Wang, Shaohua & Wang, Renguang, 2016. "Control design and fuel economy investigation of power split HEV with energy regeneration of suspension," Applied Energy, Elsevier, vol. 182(C), pages 576-589.
    5. Bauer, Christian & Hofer, Johannes & Althaus, Hans-Jörg & Del Duce, Andrea & Simons, Andrew, 2015. "The environmental performance of current and future passenger vehicles: Life cycle assessment based on a novel scenario analysis framework," Applied Energy, Elsevier, vol. 157(C), pages 871-883.
    6. Miller, Ian & Gençer, Emre & Vogelbaum, Hilary S. & Brown, Patrick R. & Torkamani, Sarah & O'Sullivan, Francis M., 2019. "Parametric modeling of life cycle greenhouse gas emissions from photovoltaic power," Applied Energy, Elsevier, vol. 238(C), pages 760-774.
    7. Zhang, Zutao & Zhang, Xingtian & Chen, Weiwu & Rasim, Yagubov & Salman, Waleed & Pan, Hongye & Yuan, Yanping & Wang, Chunbai, 2016. "A high-efficiency energy regenerative shock absorber using supercapacitors for renewable energy applications in range extended electric vehicle," Applied Energy, Elsevier, vol. 178(C), pages 177-188.
    8. Fiori, Chiara & Ahn, Kyoungho & Rakha, Hesham A., 2016. "Power-based electric vehicle energy consumption model: Model development and validation," Applied Energy, Elsevier, vol. 168(C), pages 257-268.
    9. Qiao, Qinyu & Zhao, Fuquan & Liu, Zongwei & Jiang, Shuhua & Hao, Han, 2017. "Cradle-to-gate greenhouse gas emissions of battery electric and internal combustion engine vehicles in China," Applied Energy, Elsevier, vol. 204(C), pages 1399-1411.
    10. Wolfram, Paul & Wiedmann, Thomas, 2017. "Electrifying Australian transport: Hybrid life cycle analysis of a transition to electric light-duty vehicles and renewable electricity," Applied Energy, Elsevier, vol. 206(C), pages 531-540.
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    Cited by:

    1. Nenming Wang & Guwen Tang, 2022. "A Review on Environmental Efficiency Evaluation of New Energy Vehicles Using Life Cycle Analysis," Sustainability, MDPI, vol. 14(6), pages 1-35, March.

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