Journal
ENERGY
Volume 226, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2021.120368
Keywords
-
Categories
Funding
- National Natural Science Foundation of China [52072047, 51875054, 51775063]
- Shaanxi Province Natural Science Foundation [2019JQ-439]
- Chongqing Natural Science Foundation for Distinguished Young Scholars [Cstc2019jcyjjq0010]
- Chongqing Science and Technology Bureau
- Fundamental Research Funds for the Central Universities, CHD [300102221202]
Ask authors/readers for more resources
The study focuses on optimizing the battery size for plug-in hybrid electric buses, proposing a method to coordinate energy management strategy and battery aging for determining optimal battery size, considering the uncertainty in route length for urban bus fleet leading to varying travel distance.
For plug-in hybrid electric buses, optimizing the battery size is beneficial for lowering the capital cost and improving the efficiency of energy split between multiple power sources. In addition to the energy management strategy, the optimization of battery size is highly dependent on expected trip mileage. For a fleet of urban buses, the travel distance varies between different routes or even within the same route due to random events. The strategy proposed in this paper addresses uncertainty in route length by a method that coordinates the energy management strategy and battery aging to determine optimal battery size. The route length is assumed to follow a normal distribution, and the overall speed profile along the route is composed of basic driving cycles established using a Markov chain model. The co-optimization of battery size, energy management, and battery aging is formulated as a convex programming problem. The optimal battery size for a given expectation value of route length is identified by minimizing the total weighted cost of energy consumption and battery aging over the whole route length distribution. The results, when assuming a variable route length and calculating a weighted cost, are significantly different compared to the case when a fixed route length is used. When optimal depth-of-discharge is not considered, the weighted cost versus route length has a shallow parabolic shape, and an optimal battery size corresponding to minimum weighted cost can be identified. If the optimal depth-of-discharge is taken into account, the optimal battery size is roughly constant versus route length. (C) 2021 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available