Optimization of Energy-Saving Operation Strategy for On-Board Energy Storage Trains

The implementation of on-board energy storage (OBES) trains in urban rail transit is gradually increasing, leading to distinct energy-saving driving strategies compared to conventional grid-powered trains due to the unique characteristics of OBES. The optimal control conditions (OCC) and energy-saving speed profile optimization methods of OBES trains are studied. Considering the unique power coupling constraints of OBES trains, an optimal control model with OBES as the control variable for minimizing energy consumption is established. Subsequently, based on Pontryagin’s maximum principle, the OCC of the OBES trains is derived, in which the balanced power (BP) condition is determined as the energy-saving condition. The BP insertion algorithm is designed to generate punctual energy-saving speed profiles. Simulations on a tram powered by supercapacitors (SC) show that the proposed algorithm can obtain an energy-saving speed profile that satisfies the constraints. Compared with the cruise strategy as a benchmark, the proposed OR_BP has an energy saving rate of 9.23% in the actual track. On different tracks, the OR_BP has high computing efficiency while ensuring the energy-saving effect. Finally, the effects of different parameters and models of the SC are analyzed.

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Publication Details

Journal
IEEE Transactions on Transportation Electrification
Published
2025-05-02
DOI
https://doi.org/10.1109/tte.2025.3566406
Citations
1
Primary Topic
Railway Systems and Energy Efficiency
Type
article
Field-Weighted Citation Impact
1.24

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Optimization of Energy-Saving Operation Strategy for On-Board Energy Storage Trains

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Railway Systems and Energy Efficiency
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article

Optimization of Energy-Saving Operation Strategy for On-Board Energy Storage Trains

Pengfei Sun, Chengcheng Fu, Yu Rao, Xinkun Tao, Qingyuan Wang, Xiaoyun Feng
article en
1 citations

Abstract

The implementation of on-board energy storage (OBES) trains in urban rail transit is gradually increasing, leading to distinct energy-saving driving strategies compared to conventional grid-powered trains due to the unique characteristics of OBES. The optimal control conditions (OCC) and energy-saving speed profile optimization methods of OBES trains are studied. Considering the unique power coupling constraints of OBES trains, an optimal control model with OBES as the control variable for minimizing energy consumption is established. Subsequently, based on Pontryagin’s maximum principle, the OCC of the OBES trains is derived, in which the balanced power (BP) condition is determined as the energy-saving condition. The BP insertion algorithm is designed to generate punctual energy-saving speed profiles. Simulations on a tram powered by supercapacitors (SC) show that the proposed algorithm can obtain an energy-saving speed profile that satisfies the constraints. Compared with the cruise strategy as a benchmark, the proposed OR_BP has an energy saving rate of 9.23% in the actual track. On different tracks, the OR_BP has high computing efficiency while ensuring the energy-saving effect. Finally, the effects of different parameters and models of the SC are analyzed.

IEEE Transactions on Transportation ElectrificationVol. 11(5)
Southwest Jiaotong University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 20%
Railway Systems and Energy Efficiency
1.24
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