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基于BO-TD3混合动力丘陵山地移动作业底盘能源控制策略

师国靖 许恩永 林长波 展新 李骏 蒙艳玫

农机化研究2026,Vol.48Issue(7):243-252,10.
农机化研究2026,Vol.48Issue(7):243-252,10.DOI:10.13427/j.issn.1003-188X.2026.07.031

基于BO-TD3混合动力丘陵山地移动作业底盘能源控制策略

Energy Control Strategy for Hybrid Power Mobile Operation Chassis in Hilly and Mountainous Areas Based on BO-TD3

师国靖 1许恩永 2林长波 2展新 2李骏 2蒙艳玫1

作者信息

  • 1. 广西大学 机械工程学院,南宁 530004
  • 2. 东风柳州汽车有限公司,广西 柳州 545005
  • 折叠

摘要

Abstract

To optimize the fuel economy and battery SOC maintenance performance of hybrid power mobile operating plat-forms in hilly terrain during plowing conditions,and to address the uncertainty in hyperparameter selection in reinforce-ment learning-based energy management strategies,a control strategy based on Bayesian optimization of the Twin Delayed Deep Deterministic Policy Gradient(BO-TD3)algorithm was proposed.Firstly,the Twin Delayed Deep Deterministic Policy Gradient(TD3)algorithm was used as the core,and Bayesian optimization(BO)was employed to search for the optimal hyperparameters,such as the learning rate and discount factor.The optimized parameters were then applied to the TD3 algorithm,where the plowing condition data was trained to achieve fuel consumption minimization and battery utilization optimization through the cooperative control of the engine and the motor.Simulation results demonstrated that the proposed BO-TD3 strategy significantly outperformed the conventional TD3 and Deep Deterministic Policy Gradient(DDPG)algorithms in terms of fuel economy,with improvements of 2.08%and 10.37%,respectively,thereby enhan-cing the comprehensive energy management efficiency of the vehicle.Further validation of the real-time online control strategy under other operating conditions showed that,compared with TD3,DDPG,and the rule-based Charge-Depleting and Charge-Sustaining(CDCS)strategy,the BO-TD3 strategy achieved 4.75%,7.13%,and 28.71%im-provements in fuel economy,respectively,while maintaining excellent battery SOC performance.This study can provide a novel approach to energy management strategies for hybrid power mobile operating platforms and other agricultural ma-chinery,offering significant application value and broad promotion prospects.

关键词

混合动力/移动作业底盘/能源管理/贝叶斯优化/TD3/燃油经济性/电池SOC维持/丘陵山地

Key words

hybrid power/mobile operation chassis/energy management/Bayesian optimization/TD3 algorithm/fuel economy/battery SOC maintenance/hilly and mountainous areas

分类

农业科技

引用本文复制引用

师国靖,许恩永,林长波,展新,李骏,蒙艳玫..基于BO-TD3混合动力丘陵山地移动作业底盘能源控制策略[J].农机化研究,2026,48(7):243-252,10.

基金项目

国家自然科学基金项目(52365001) (52365001)

广西科技重大专项(桂科AA23062040) (桂科AA23062040)

农机化研究

1003-188X

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