关键词: 车辆工程；高速列车；驾驶策略；改进PID搜索算法；临时限速；节能控制

Abstract: Optimization of energy-saving operation during high-speed train operation is to achieve energy-saving control by adjusting the train driving strategy while satisfying the constraints. Targeting the further energy-saving optimization issue of high-speed trains, a train energy consumption optimization method based on improved PID search algorithm was proposed. To enhance the optimization performance of the algorithm, sine-logistic fusion chaotic mapping was utilized for initializing the colony, fuzzy PID control was employed for realizing adaptive regulation of parameters, dynamic selection of T-distribution perturbation strategy was used to increase random information, the diversity of the population was enriched by reverse learning through lens imaging, the SA selection mechanism was introduced to expand search zone, and the advantage of the proposed method in convergence accuracy and convergence speed was verified through benchmark test functions. Then, with minimum energy consumption, punctuality and comfort as optimization objectives, an energy-saving operation optimization model for trains was established by adopting train homogenization rod modeling. Finally, based on the CRH3C train parameters, the actual line data from Weinan North Station to Huashan North Station was utilized for simulation. The results show that through the improved PID search algorithm optimization, compared with the train time-saving and the four-stage operation mode, the train can save 17.9% and 9.9% energy respectively under general speed limit, and the train can save 10.8% and 9.0% energy respectively under the temporary speed limit. The adjustment of the temporary arrival time of the train has been analyzed to verify the effectiveness and robustness of the proposed method. The research results provide a reference for optimizing the energy consumption of train operation.

Key words: vehicle engineering; high-speed trains; driving strategy; improved PID search algorithm; temporary speed limits; energy-saving control