Article ; Online: Energy management strategy and simulation analysis of a hybrid train based on a comprehensive efficiency optimization
Applied Energy. 2023, p.121733-
2023 , Page(s) 121733–
Abstract: Since trains usually have long travel mileage requirements, designing an optimal energy management strategy has great potential for reducing energy consumption. First, a hybrid train power component model was developed, and the train operating efficiency, ...
| Abstract | Since trains usually have long travel mileage requirements, designing an optimal energy management strategy has great potential for reducing energy consumption. First, a hybrid train power component model was developed, and the train operating efficiency, as well as a map of the optimal integrated efficiency of the entire vehicle operation, was derived for each mode from simulation calculations by analyzing the power flows in different operating modes. Next, the overall optimal efficiency of the entire vehicle was used to determine the mode division rules, and proportional integral control was used to ensure that the engine and motor operated at the target speed under the target torque. Finally, with the optimization objectives of reducing the fuel consumption of the entire vehicle and maintaining a balanced battery state of charge, a forward simulation model for the overall efficiency optimization of the entire vehicle was built in the MATLAB/Simulink software. Then, the trajectories of the engine and motor operating points, the fuel consumption, and the battery SOC were obtained for certain operating conditions. The effectiveness of the energy management strategy based on integrated efficiency optimization was verified by comparing the simulation results for the hybrid train with those of a conventional internal combustion engine train. |
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| Keywords | batteries ; computer software ; energy ; energy use and consumption ; internal combustion engines ; simulation models ; torque ; travel ; Hybrid train ; Efficiency optimization ; Energy management ; Simulation ; Reduce energy consumption |
| Language | English |
| Publishing place | Elsevier Ltd |
| Document type | Article ; Online |
| Note | Pre-press version |
| ZDB-ID | 2000772-3 |
| ISSN | 0306-2619 |
| ISSN | 0306-2619 |
| DOI | 10.1016/j.apenergy.2023.121733 |
| Database | NAL-Catalogue (AGRICOLA) |
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