Volume 24 Issue 3
Jun.  2024
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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2024  >  24(3): 266-278
LIANG Min-cang, WANG Sheng-zheng. Long voyage planning and battery charging/swapping strategy of pure electric green ships[J]. Journal of Traffic and Transportation Engineering, 2024, 24(3): 266-278. doi: 10.19818/j.cnki.1671-1637.2024.03.019
Citation: LIANG Min-cang, WANG Sheng-zheng. Long voyage planning and battery charging/swapping strategy of pure electric green ships[J]. Journal of Traffic and Transportation Engineering, 2024, 24(3): 266-278. doi: 10.19818/j.cnki.1671-1637.2024.03.019
shu

Long voyage planning and battery charging/swapping strategy of pure electric green ships

doi: 10.19818/j.cnki.1671-1637.2024.03.019
  • 1.

    Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China

  • 2.

    School of Naval Architecture and Maritime, Zhejiang Ocean University, Zhoushan 316022, Zhejiang, China

Funds:

National Key Research and Development Program of China 2021YFC2801004

Shanghai Science and Technology Plan Project 21DZ1205800

More Information
  • Author Bio:

    LIANG Min-cang(1991-), male, assistant professor, doctoral student, lmc_555@163.com

    WANG Sheng-zheng(1976-), male, professor, PhD, szwang@shmtu.edu.cn

  • Received Date: 2023-12-06
    Available Online: 2024-07-18
  • Publish Date: 2024-06-30
    Abstract
  • To solve the problems of long voyage planning and dynamic planning of site selection of battery charging/swapping stations for pure electric ships, a feasible multi-variable and multi-objective optimization method was proposed to realize the synchronous optimization of speed and battery charging/swapping strategy. A double objective function of the lowest energy consumption and the shortest voyage time was established, the environmental and operational factors affecting long voyage planning for pure electric ships were analyzed, and the constraints of speed, voyage time and energy consumption were established. The operations management mode of the containerized battery was studied, and two optimization models of energy supply charging according to actual power consumption charging and one-time battery swapping charging were built. The models were solved by a non-dominated sorting genetic algorithm and verified by experiment cases. Research results show that based on case data conditions, before optimization, the maximum average speed of 8.5 kn ensuring continuous sailing to the second battery charging/swapping station for recharging requires 96 637.7 kWh of energy consumption and 62.1 h of total sailing time. When charging for actual power consumption, the battery charging/swapping strategy obtained by the optimization models requires recharging at the second battery charging/swapping station. When the optimization goal is the shortest sailing time, the total sailing time is only 56.9 h. When the optimization goal is the minimum energy consumption, the total energy consumption is only 65 762.5 kWh. In the case of one-time battery swapping charging, there are two strategies in the optimization model, including no battery swapping in the whole voyage and one-time battery swapping at the second battery charging/swapping station. The accumulated energy consumption before battery swapping is close to the total capacity of the battery on the ship, which can maximize the energy utilization. The optimization model can provide optimal speed and battery charging/swapping strategy under different battery operations management modes and user preferences, and can be applied to determine site selection of battery charging/swapping stations, which is of great significance to improve the operating efficiency of pure electric green ships.

     

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