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Optimal charging strategy for intercity travels of battery electric vehicles

机译:电池电动汽车城间行程的最佳充电策略

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摘要

Limited driving range, long charging time and high charging costs affect the use of battery electric vehicles (BEVs) for intercity travels and often compel drivers to charge their vehicles more than once. This study proposes a multistage optimisation model to provide BEV drivers with a charging strategy for intercity travel. This model aims to jointly minimise travel time and charging cost and to determine the optimal amount of charged energy in each charging station located along the available routes. A dynamic programming method for solving this model is also designed. The feasibility and effectiveness of the proposed model and solution method are verified through the numerical example and simulations. The results indicate that the trade-offs between travel time and charging cost significantly influence the proposed solution, and the residual energy at the destination affects the availability of routes. The policy implications for the BEV-based intercity travels are discussed.
机译:有限的驾驶范围,长充电时间和高充电成本影响了电池电动车(BEV)的电池(BEV),而且经常强迫驾驶员以多次充电。 本研究提出了一种多级优化模型,为BEV驱动程序提供具有对城际旅行的充电策略。 该模型旨在共同减少旅行时间和充电成本,并确定沿着可用路线的每个充电站中的充电能量的最佳量。 还设计了一种用于解决此模型的动态编程方法。 通过数值示例和仿真验证了所提出的模型和解决方法方法的可行性和有效性。 结果表明,旅行时间和充电成本之间的权衡显着影响了所提出的解决方案,目的地的剩余能量会影响路线的可用性。 讨论了对基于BEV的跨度旅行的策略影响。

著录项

  • 来源
    《Transportation Research》 |2021年第7期|102870.1-102870.18|共18页
  • 作者单位

    Norwegian Univ Sci & Technol Dept Civil & Environm Engn N-7033 Trondheim Norway;

    Beijing Jiaotong Univ Sch Traff & Transportat 3 Shangyuancun St Beijing 100044 Peoples R China|Beijing Jiaotong Univ Key Lab Transport Ind Big Data Applicat Technol C Beijing 100044 Peoples R China;

    Beijing Jiaotong Univ Sch Traff & Transportat 3 Shangyuancun St Beijing 100044 Peoples R China|Beijing Jiaotong Univ Key Lab Transport Ind Big Data Applicat Technol C Beijing 100044 Peoples R China;

    Oslo Metropolitan Univ Dept Civil Engn & Energy Technol N-0166 Oslo Norway;

    Beijing Jiaotong Univ Sch Traff & Transportat 3 Shangyuancun St Beijing 100044 Peoples R China|Beijing Jiaotong Univ Key Lab Transport Ind Big Data Applicat Technol C Beijing 100044 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Battery electric vehicles; Charging behaviour; Multicriteria charging strategy; Multistage optimisation model; Dynamic programming;

    机译:电池电动车;充电行为;多标准计费策略;多级优化模型;动态规划;

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