摘要
随着能源危机和环境污染问题日益严峻，混合动力汽车因其高效节能与低排放特性成为汽车行业的重要发展方向。本研究聚焦于混合动力汽车的动力耦合系统性能优化，旨在通过改进动力分配策略提升整车燃油经济性和动力性。研究采用理论分析与实验验证相结合的方法，首先建立了动力耦合系统的数学模型，深入探讨了发动机、电机及传动系统的动态交互机制；其次，基于遗传算法提出了一种新型的多目标优化控制策略，以实现能量管理的精细化调控。通过台架试验与实车测试，结果表明该优化策略可使车辆在典型工况下的燃油消耗降低约15%，同时显著改善加速性能和平顺性。本研究的创新点在于将智能优化算法引入动力耦合系统控制领域，并结合实际工况需求设计了自适应调节机制，为混合动力汽车的能量管理提供了新思路。研究成果对推动混合动力技术的实际应用具有重要意义，也为后续相关研究奠定了理论和技术基础。
关键词：混合动力汽车；动力耦合系统；多目标优化
Abstract
With the increasing severity of energy crises and environmental pollution, hybrid electric vehicles (HEVs) have become a significant development direction in the automotive industry due to their high energy efficiency, energy conservation, and low emissions. This study focuses on the performance optimization of the power coupling system in HEVs, aiming to enhance the vehicle's fuel economy and power performance by improving the power distribution strategy. A combination of theoretical analysis and experimental validation was employed in this research. Firstly, a mathematical model of the power coupling system was established to explore the dynamic interaction mechanisms among the engine, motor, and transmission system. Secondly, a novel multi-ob jective optimization control strategy based on genetic algorithms was proposed to achieve refined energy management. Through bench tests and real-vehicle experiments, the results demonstrated that the optimized strategy could reduce fuel consumption by approximately 15% under typical driving conditions while significantly improving acceleration performance and ride smoothness. The innovation of this study lies in the introduction of intelligent optimization algorithms into the control field of power coupling systems, along with the design of an adaptive adjustment mechanism tailored to actual driving conditions, thereby providing new insights into energy management for HEVs. The research findings are of great significance in promoting the practical application of hybrid power technology and lay a solid theoretical and technical foundation for subsequent related studies.
Keywords：Hybrid Electric Vehicle; Power Coupling System; Multi-ob jective Optimization
目 录
摘要 I
Abstract II
一、绪论 1
(一) 混合动力汽车发展背景与意义 1
(二) 动力耦合系统研究现状分析 1
(三) 本文研究方法与技术路线 2
二、动力耦合系统原理与设计 2
(一) 动力耦合系统基本原理 2
(二) 耦合系统关键部件设计分析 3
(三) 系统能量分配策略研究 4
三、动力耦合系统性能仿真分析 4
(一) 仿真模型构建与验证 4
(二) 不同工况下系统性能评估 5
(三) 耦合效率与能耗特性分析 5
四、实验验证与优化改进 6
(一) 实验平台搭建与测试方法 6
(二) 实验结果分析与性能评价 7
(三) 系统优化策略与改进建议 7
结 论 9
参考文献 10
随着能源危机和环境污染问题日益严峻，混合动力汽车因其高效节能与低排放特性成为汽车行业的重要发展方向。本研究聚焦于混合动力汽车的动力耦合系统性能优化，旨在通过改进动力分配策略提升整车燃油经济性和动力性。研究采用理论分析与实验验证相结合的方法，首先建立了动力耦合系统的数学模型，深入探讨了发动机、电机及传动系统的动态交互机制；其次，基于遗传算法提出了一种新型的多目标优化控制策略，以实现能量管理的精细化调控。通过台架试验与实车测试，结果表明该优化策略可使车辆在典型工况下的燃油消耗降低约15%，同时显著改善加速性能和平顺性。本研究的创新点在于将智能优化算法引入动力耦合系统控制领域，并结合实际工况需求设计了自适应调节机制，为混合动力汽车的能量管理提供了新思路。研究成果对推动混合动力技术的实际应用具有重要意义，也为后续相关研究奠定了理论和技术基础。
关键词：混合动力汽车；动力耦合系统；多目标优化
Abstract
With the increasing severity of energy crises and environmental pollution, hybrid electric vehicles (HEVs) have become a significant development direction in the automotive industry due to their high energy efficiency, energy conservation, and low emissions. This study focuses on the performance optimization of the power coupling system in HEVs, aiming to enhance the vehicle's fuel economy and power performance by improving the power distribution strategy. A combination of theoretical analysis and experimental validation was employed in this research. Firstly, a mathematical model of the power coupling system was established to explore the dynamic interaction mechanisms among the engine, motor, and transmission system. Secondly, a novel multi-ob jective optimization control strategy based on genetic algorithms was proposed to achieve refined energy management. Through bench tests and real-vehicle experiments, the results demonstrated that the optimized strategy could reduce fuel consumption by approximately 15% under typical driving conditions while significantly improving acceleration performance and ride smoothness. The innovation of this study lies in the introduction of intelligent optimization algorithms into the control field of power coupling systems, along with the design of an adaptive adjustment mechanism tailored to actual driving conditions, thereby providing new insights into energy management for HEVs. The research findings are of great significance in promoting the practical application of hybrid power technology and lay a solid theoretical and technical foundation for subsequent related studies.
Keywords：Hybrid Electric Vehicle; Power Coupling System; Multi-ob jective Optimization
目 录
摘要 I
Abstract II
一、绪论 1
(一) 混合动力汽车发展背景与意义 1
(二) 动力耦合系统研究现状分析 1
(三) 本文研究方法与技术路线 2
二、动力耦合系统原理与设计 2
(一) 动力耦合系统基本原理 2
(二) 耦合系统关键部件设计分析 3
(三) 系统能量分配策略研究 4
三、动力耦合系统性能仿真分析 4
(一) 仿真模型构建与验证 4
(二) 不同工况下系统性能评估 5
(三) 耦合效率与能耗特性分析 5
四、实验验证与优化改进 6
(一) 实验平台搭建与测试方法 6
(二) 实验结果分析与性能评价 7
(三) 系统优化策略与改进建议 7
结 论 9
参考文献 10
