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。本文针对混合动力汽车动力总成参数匹配与优化问题展开研究，旨在通过合理配置动力系统参数以实现整车性能的最优化。研究基于某款典型插电式混合动力车型，采用理论分析与仿真验证相结合的方法，构建了包含发动机、电机、电池及传动系统的多目标优化模型。通过引入改进的遗传算法对关键参数进行全局搜索，并结合驾驶工况数据评估不同方案的经济性和排放水平。结果表明，优化后的动力总成参数显著提升了车辆的燃油经济性，同时满足动力性和排放法规要求。本研究创新性地提出了一种动态权重分配策略，用于平衡不同工况下的多目标冲突，从而提高了优化结果的实用性和鲁棒性。此外，研究还开发了一套参数匹配工具，为混合动力汽车的设计提供了高效的技术支持。总体而言，该研究为混合动力汽车动力总成的参数设计提供了科学依据，并对实际工程应用具有重要指导意义。
关键词：混合动力汽车；动力总成参数优化；改进遗传算法；动态权重分配策略；燃油经济性
Abstract
As energy crises and environmental pollution become increasingly severe, hybrid electric vehicles (HEVs) have emerged as a crucial development direction in the automotive industry due to their high energy efficiency, low emissions, and cost-saving characteristics. This study focuses on the parameter matching and optimization of the powertrain for hybrid electric vehicles, aiming to optimize the overall vehicle performance through rational configuration of the power system parameters. Based on a typical plug-in hybrid electric vehicle model, a multi-ob jective optimization model was constructed, integrating the engine, motor, battery, and transmission system. The research adopted a combination of theoretical analysis and simulation validation, utilizing an improved genetic algorithm for global searching of key parameters. Driving condition data were incorporated to evaluate the economic viability and emission levels of different schemes. Results indicate that the optimized powertrain parameters significantly enhance the vehicle's fuel economy while satisfying both dynamic performance requirements and emission regulations. An innovative dynamic weight allocation strategy was proposed to balance multi-ob jective conflicts under varying driving conditions, thereby improving the practicality and robustness of the optimization outcomes. Additionally, a parameter-matching tool was developed, providing efficient technical support for hybrid electric vehicle design. Overall, this study offers a scientific basis for the parameter design of hybrid electric vehicle powertrains and holds significant guiding implications for practical engineering applications.
Keywords: Hybrid Electric Vehicle；Powertrain Parameter Optimization；Improved Genetic Algorithm；Dynamic Weight Allocation Strategy；Fuel Economy
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）动力总成参数匹配研究现状分析 1
（三）本文研究方法与技术路线 1
二、动力总成参数匹配基础理论 2
（一）混合动力系统基本原理概述 2
（二）参数匹配的关键影响因素分析 2
（三）匹配模型的构建与验证方法 3
（四）理论在实际应用中的挑战 4
三、参数匹配优化方法研究 4
（一）优化目标与约束条件设定 4
（二）基于仿真的参数优化策略 5
（三）多目标优化算法的应用探讨 5
（四）优化结果的评估与改进方向 6
四、实验验证与案例分析 6
（一）实验平台搭建与测试方案设计 6
（二）典型工况下的参数匹配效果分析 7
（三）不同场景下优化性能对比研究 7
（四）实验结果总结与改进建议 8
结 论 8
致 谢 9
参考文献 10
