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作 者:刘振博[1] 林慕义[1,2] 白宇 成恺 LIU Zhenbo;LIN Muyi;BAI Yu;CHENG Kai(School of Mechanical and Electronic Engineering,Beijing Information Science and Technology University,Beijing 100192,China;Collaborative Innovation Center of Electric Vehicles in Beijing,Beijing 100192,China)
机构地区:[1]北京信息科技大学机电工程学院,北京100192 [2]北京电动车辆协同创新中心,北京100192
出 处:《重庆理工大学学报(自然科学)》2024年第5期187-194,共8页Journal of Chongqing University of Technology:Natural Science
基 金:国家自然科学基金项目(51275053)。
摘 要:复合储能式混合动力装载机可以降低车辆燃油消耗,实现能量高效回收,但由于系统组成较为复杂、装载机工作环境恶劣且存在较多不确定性因素,使得整车运行的经济性无法达到最佳状态。为此,采用6σ稳健优化设计理论,对影响复合储能系统性能的参数进行优化设计,得到可靠性较高的优化参数;在4种常见工况下通过装载机的整车后向仿真模型对6σ算法的优化结果进行验证,发现整车燃油消耗量明显下降,4种工况的平均节油率分别为11.14%、10.30%、10.40%、11.38%;利用dSPACE硬件在环的试验方式验证了仿真结果与试验结果基本一致,误差在0.5 g内,证明6σ优化效果切实有效。The composite energy storage hybrid loader,due to its complex system composition and harsh working environment with many uncertainties,does not achieve optimal economic performance.To cope with the complex and variable construction environment and reduce performance degradation caused by system parameter fluctuations,it is necessary to optimize the robustness and reliability of the composite energy storage system.The composite energy storage hybrid loader studied in this paper has a parallel structure.The vehicle’s power sources include the engine system,the battery-motor system,and the hydraulic system.The engine system serves as the primary power source,the battery-motor system mainly provides auxiliary power,and the hydraulic system inputs energy stored in the hydraulic accumulator into the transmission system as another power output system for the loader.The composite energy storage system of the loader mainly consists of these three parts.By robustly optimizing these three subsystems,the composite energy storage system can achieve optimal performance during loader operation.The optimization method used is 6σrobust design.The principle involves combining the robust design of the tolerance model set with the modern optimization design theory of the 6σquality management standard.This approach not only optimizes the target function but also reduces the impact of some constraints and related variable fluctuations on the optimization target,thereby improving the reliability of the target after optimization and ultimately enhancing robustness.The specific process first involves deterministic analysis for each system,constructing objective functions,parameter variables,and variable constraints.However,the results of deterministic optimization are overly idealistic and do not consider the impact of uncertainties,making them unrealistic for practical engineering applications.Consequently,the optimized parameter values may not be absolutely reliable.Therefore,a 6σrobust design is applied to the corresponding syste
分 类 号:TH137[机械工程—机械制造及自动化]
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