Development of multiple driving cycles with equivalent energy consumption to expand a standard driving cycle
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DOI: 10.1016/j.energy.2025.134951
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- Cui, Yuepeng & Zou, Fumin & Xu, Hao & Chen, Zhihui & Gong, Kuangmin, 2022. "A novel optimization-based method to develop representative driving cycle in various driving conditions," Energy, Elsevier, vol. 247(C).
- Kong, Yan & Xu, Nan & Zhang, Yuanjian & Sui, Yan & Ju, Hao & Liu, Heng & Xu, Zhe, 2021. "Acquisition of full-factor trip information for global optimization energy management in multi-energy source vehicles and the measure of the amount of information to be transmitted," Energy, Elsevier, vol. 236(C).
- Xu, Nan & Kong, Yan & Yan, Jinyue & Zhang, Yuanjian & Sui, Yan & Ju, Hao & Liu, Heng & Xu, Zhe, 2022. "Global optimization energy management for multi-energy source vehicles based on “Information layer - Physical layer - Energy layer - Dynamic programming” (IPE-DP)," Applied Energy, Elsevier, vol. 312(C).
- Tao, Siyou & Ding, Ke & Li, Zhuoyun & Zhang, Hui, 2022. "Development of a representative driving cycle for evaluating exhaust emission and fuel consumption for Chinese switcher locomotives," Applied Energy, Elsevier, vol. 322(C).
- Jia, Chunchun & Zhou, Jiaming & He, Hongwen & Li, Jianwei & Wei, Zhongbao & Li, Kunang, 2024. "Health-conscious deep reinforcement learning energy management for fuel cell buses integrating environmental and look-ahead road information," Energy, Elsevier, vol. 290(C).
- Kangda Chen & Fuquan Zhao & Xinglong Liu & Han Hao & Zongwei Liu, 2021. "Impacts of the New Worldwide Light-Duty Test Procedure on Technology Effectiveness and China’s Passenger Vehicle Fuel Consumption Regulations," IJERPH, MDPI, vol. 18(6), pages 1-20, March.
- Hull, Christopher & Collett, Katherine A. & McCulloch, Malcolm D., 2024. "Developing a representative driving cycle for paratransit that reflects measured data transients: Case study in Stellenbosch, South Africa," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
- Fan, Pengfei & Yin, Hang & Lu, Hongyu & Wu, Yizheng & Zhai, Zhiqiang & Yu, Lei & Song, Guohua, 2023. "Which factor contributes more to the fuel consumption gap between in-laboratory vs. real-world driving conditions? An independent component analysis," Energy Policy, Elsevier, vol. 182(C).
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