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Battery capacity selection for electric construction machinery considering variable operating conditions and multiple interest claims

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  • Huang, Xiaohui
  • Huang, Qi
  • Cao, Huajun
  • Wang, Qianyue
  • Yan, Wanbin
  • Cao, Le

Abstract

The appropriate battery capacity is a critical factor in the electrification of construction machinery, but the current selection for battery capacity lacks of consideration of the variable operating conditions and the multiple interests (customers and manufacturers). This study proposed a battery capacity selection framework for electric construction machinery. Firstly, the variable operating conditions are described mathematically, and the battery capacity relevant parameters are analyzed and determined. Secondly, a dual-layer optimization method is used to find the optimization solution set for battery capacity under different operating conditions. It is optimized for purchase and operating costs by the multi-objective snake optimizer. Finally, an evaluation system considering the multiple interest claims is proposed, and the battery capacity is selected by the improved fuzzy-TOPSIS method. The framework was verified with the wheel loader and provided five battery capacities under 4–8 h continuous operation conditions. Each version fitted at least 94.36% probability of the operating conditions and achieved initial purchase cost recovery within three years. And the impact of battery technology developments on the construction machinery electrification was also assessed. This research could be widely applied to battery capacity selection for electric construction machinery.

Suggested Citation

  • Huang, Xiaohui & Huang, Qi & Cao, Huajun & Wang, Qianyue & Yan, Wanbin & Cao, Le, 2023. "Battery capacity selection for electric construction machinery considering variable operating conditions and multiple interest claims," Energy, Elsevier, vol. 275(C).
    • Handle: RePEc:eee:energy:v:275:y:2023:i:c:s0360544223008484
    DOI: 10.1016/j.energy.2023.127454
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    1. Joeri Rogelj & Daniel Huppmann & Volker Krey & Keywan Riahi & Leon Clarke & Matthew Gidden & Zebedee Nicholls & Malte Meinshausen, 2019. "A new scenario logic for the Paris Agreement long-term temperature goal," Nature, Nature, vol. 573(7774), pages 357-363, September.
    2. Song, Ziyou & Zhang, Xiaobin & Li, Jianqiu & Hofmann, Heath & Ouyang, Minggao & Du, Jiuyu, 2018. "Component sizing optimization of plug-in hybrid electric vehicles with the hybrid energy storage system," Energy, Elsevier, vol. 144(C), pages 393-403.
    3. Han, Seungyun & Kobla Tagayi, Roland & Kim, Jaewon & Kim, Jonghoon, 2022. "Adaptive deterministic approach for optimized sizing of high-energy battery system applied in electric-powered application," Applied Energy, Elsevier, vol. 309(C).
    4. Zhu, Tao & Wills, Richard G.A. & Lot, Roberto & Kong, Xiaodan & Yan, Xingda, 2021. "Optimal sizing and sensitivity analysis of a battery-supercapacitor energy storage system for electric vehicles," Energy, Elsevier, vol. 221(C).
    5. Yang, Chen, 2022. "Running battery electric vehicles with extended range: Coupling cost and energy analysis," Applied Energy, Elsevier, vol. 306(PB).
    6. Tamba, Marie & Krause, Jette & Weitzel, Matthias & Ioan, Raileanu & Duboz, Louison & Grosso, Monica & Vandyck, Toon, 2022. "Economy-wide impacts of road transport electrification in the EU," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    7. Liu, Kai & Wang, Jiangbo & Yamamoto, Toshiyuki & Morikawa, Takayuki, 2018. "Exploring the interactive effects of ambient temperature and vehicle auxiliary loads on electric vehicle energy consumption," Applied Energy, Elsevier, vol. 227(C), pages 324-331.
    8. Al-Wreikat, Yazan & Serrano, Clara & Sodré, José Ricardo, 2022. "Effects of ambient temperature and trip characteristics on the energy consumption of an electric vehicle," Energy, Elsevier, vol. 238(PC).
    9. Wei Wei & Sankaran Ramakrishnan & Zachary A. Needell & Jessika E. Trancik, 2021. "Personal vehicle electrification and charging solutions for high-energy days," Nature Energy, Nature, vol. 6(1), pages 105-114, January.
    10. Wenxing Ma & Yubo Zhang & Chunbao Liu & Songlin Wang, 2015. "Prediction Method of the Fuel Consumption of Wheel Loaders in the V-Type Loading Cycle," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-12, October.
    11. Basma, Hussein & Mansour, Charbel & Haddad, Marc & Nemer, Maroun & Stabat, Pascal, 2020. "Comprehensive energy modeling methodology for battery electric buses," Energy, Elsevier, vol. 207(C).
    12. Huang, Xiaohui & Huang, Qi & Cao, Huajun & Yan, Wanbin & Cao, Le & Zhang, Qiongzhi, 2023. "Optimal design for improving operation performance of electric construction machinery collaborative system: Method and application," Energy, Elsevier, vol. 263(PA).
    13. Lin, Tianliang & Lin, Yuanzheng & Ren, Haoling & Chen, Haibin & Chen, Qihuai & Li, Zhongshen, 2020. "Development and key technologies of pure electric construction machinery," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    14. Adedamola Adepetu & Srinivasan Keshav, 2017. "The relative importance of price and driving range on electric vehicle adoption: Los Angeles case study," Transportation, Springer, vol. 44(2), pages 353-373, March.
    Full references (including those not matched with items on IDEAS)

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    2. Jiang, Yaoxing & Tong, Zheming & Tong, Shuiguang & Xu, Zhengyu & Li, Yuansong, 2024. "Hydraulic dual-module hybrid driving system with adjustable waste energy recovery for industrial vehicles," Energy, Elsevier, vol. 307(C).

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