Considering the Remaining Useful Life of Lithium Batteries for Modern Tram Power System Capacity Configuration

Fengyang  Gao; Fengxu  Qi; Guopeng  Han; Jia  Liu; Qingyin  Liu

doi:10.6180/jase.202509_28(9).0006

Considering the Remaining Useful Life of Lithium Batteries for Modern Tram Power System Capacity Configuration

Fengyang Gao¹, Fengxu Qi¹This email address is being protected from spambots. You need JavaScript enabled to view it., Guopeng Han², Jia Liu¹, and Qingyin Liu¹

¹College of Automation and Electrical Engineering, Lanzhou jiaotong University, Lanzhou 730070 China

²CRRC Tangshan Co., Ltd., Tangshan 063035 China

Received: July 13, 2023
Accepted: October 21, 2024
Publication Date: December 9, 2024

Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation: ||https://doi.org/10.6180/jase.202509_28(9).0006

Configuring trams with hybrid power systems of appropriate capacity can effectively improve the operational efficiency of trams. The traditional capacity configuration depends on the engineering experience, which leads to the problem of high configuration cost. In this paper, based on the remaining useful life (RUL) prediction of lithium batteries, a capacity configuration method of tramway hybrid power system considering lithium battery RUL is proposed. Prediction of lithium battery RUL based on particle filtering (PF) algorithm and comparative analysis with extended kalman filter (EKF) algorithm. Analyzing the cost structure of the power system, constructing a system capacity configuration model, including objective function, constraints, and solving the model by using honey badger algorithm (HBA). Finally, the calculation example compares and analyzes the impact of different energy storage methods on the total annual average minimum cost of the system to verify the feasibility of the proposed method. The results show that the total annual average minimum cost of hybrid energy storage is only 14.603 million yuan, which decreases by 38.2% compared with the single-type battery energy storage capacity configuration, and greatly improves the system economy.

Keywords: moderntramway; hybrid power system; lifetime prediction; particle filter; capacity configuration

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