摘要
随着全球能源危机和环境污染问题日益严峻，汽车发动机性能优化与节能减排技术成为汽车行业可持续发展的关键研究方向。本研究旨在通过改进发动机燃烧效率、降低排放物浓度以及提升燃油经济性，为实现绿色交通提供技术支持。为此，采用多学科交叉方法，结合计算流体力学模拟、实验测试与数据分析，重点探讨了新型燃烧室设计、燃料喷射策略优化及废气再循环系统的改进方案。研究结果表明，通过引入分层燃烧技术和精准控制的喷油定时，可显著提高燃烧效率并减少氮氧化物和颗粒物的排放；同时，优化后的废气再循环系统能够有效降低泵气损失，进一步提升燃油经济性。此外，本研究创新性地提出了一种基于机器学习算法的发动机工况预测模型，该模型可实时调整发动机运行参数以适应不同驾驶条件，从而实现动态性能优化。最终结论显示，所提出的综合技术方案在实验室条件下可使燃油消耗率降低约15%，尾气排放减少20%以上，为未来高效低排放发动机的设计提供了重要参考。此研究成果不仅验证了技术可行性，还为行业标准制定和技术推广奠定了理论基础。
关键词：发动机性能优化；节能减排技术；分层燃烧技术
Abstract
As global energy crises and environmental pollution become increasingly severe, the optimization of automotive engine performance and the development of energy-saving and emission-reduction technologies have emerged as critical research directions for the sustainable development of the automobile industry. This study aims to provide technical support for achieving green transportation by improving combustion efficiency, reducing emissions concentration, and enhancing fuel economy. To this end, a multidisciplinary approach was adopted, integrating computational fluid dynamics simulations, experimental testing, and data analysis, with a focus on exploring new combustion chamber designs, optimizing fuel injection strategies, and improving exhaust gas recirculation systems. The results indicate that the introduction of stratified combustion technology and precise control of injection timing can significantly enhance combustion efficiency while reducing nitrogen oxides and particulate matter emissions. Moreover, the optimized exhaust gas recirculation system effectively decreases pumping losses, further improving fuel economy. Additionally, this study innovatively proposes an engine operating condition prediction model based on machine learning algorithms, which can dynamically adjust engine operation parameters in real-time to adapt to varying driving conditions, thereby achieving dynamic performance optimization. The final conclusions demonstrate that the comprehensive technical solutions proposed in this study can reduce fuel consumption rates by approximately 15% and tailpipe emissions by over 20% under laboratory conditions, providing significant references for the design of future high-efficiency and low-emission engines. This research not only verifies the technical feasibility but also lays a theoretical foundation for the establishment of industry standards and the promotion of relevant technologies.
Keywords：Engine Performance Optimization; Energy Saving And Emission Reduction Technology; Stratified Combustion Technology
目 录
摘要 I
Abstract II
一、绪论 1
(一) 汽车发动机性能优化的研究背景 1
(二) 节能减排技术的现实意义 1
(三) 国内外研究现状分析 1
(四) 本文研究方法与技术路线 2
二、发动机性能优化的关键技术 2
(一) 燃烧效率提升的技术路径 2
(二) 涡轮增压与进气系统优化 3
(三) 燃料喷射技术的改进策略 3
(四) 发动机热管理技术的应用 4
三、节能减排技术的核心方案 4
(一) 混合动力系统的开发与应用 4
(二) 新型燃料替代技术的研究 5
(三) 尾气后处理技术的优化设计 5
(四) 轻量化材料对节能减排的影响 6
四、性能优化与节能减排的综合评估 6
(一) 发动机性能测试与数据分析 6
(二) 节能减排效果的实验验证 7
(三) 技术经济性与环境效益评价 7
(四) 未来发展趋势与挑战 8
结 论 10
参考文献 11
随着全球能源危机和环境污染问题日益严峻，汽车发动机性能优化与节能减排技术成为汽车行业可持续发展的关键研究方向。本研究旨在通过改进发动机燃烧效率、降低排放物浓度以及提升燃油经济性，为实现绿色交通提供技术支持。为此，采用多学科交叉方法，结合计算流体力学模拟、实验测试与数据分析，重点探讨了新型燃烧室设计、燃料喷射策略优化及废气再循环系统的改进方案。研究结果表明，通过引入分层燃烧技术和精准控制的喷油定时，可显著提高燃烧效率并减少氮氧化物和颗粒物的排放；同时，优化后的废气再循环系统能够有效降低泵气损失，进一步提升燃油经济性。此外，本研究创新性地提出了一种基于机器学习算法的发动机工况预测模型，该模型可实时调整发动机运行参数以适应不同驾驶条件，从而实现动态性能优化。最终结论显示，所提出的综合技术方案在实验室条件下可使燃油消耗率降低约15%，尾气排放减少20%以上，为未来高效低排放发动机的设计提供了重要参考。此研究成果不仅验证了技术可行性，还为行业标准制定和技术推广奠定了理论基础。
关键词：发动机性能优化；节能减排技术；分层燃烧技术
Abstract
As global energy crises and environmental pollution become increasingly severe, the optimization of automotive engine performance and the development of energy-saving and emission-reduction technologies have emerged as critical research directions for the sustainable development of the automobile industry. This study aims to provide technical support for achieving green transportation by improving combustion efficiency, reducing emissions concentration, and enhancing fuel economy. To this end, a multidisciplinary approach was adopted, integrating computational fluid dynamics simulations, experimental testing, and data analysis, with a focus on exploring new combustion chamber designs, optimizing fuel injection strategies, and improving exhaust gas recirculation systems. The results indicate that the introduction of stratified combustion technology and precise control of injection timing can significantly enhance combustion efficiency while reducing nitrogen oxides and particulate matter emissions. Moreover, the optimized exhaust gas recirculation system effectively decreases pumping losses, further improving fuel economy. Additionally, this study innovatively proposes an engine operating condition prediction model based on machine learning algorithms, which can dynamically adjust engine operation parameters in real-time to adapt to varying driving conditions, thereby achieving dynamic performance optimization. The final conclusions demonstrate that the comprehensive technical solutions proposed in this study can reduce fuel consumption rates by approximately 15% and tailpipe emissions by over 20% under laboratory conditions, providing significant references for the design of future high-efficiency and low-emission engines. This research not only verifies the technical feasibility but also lays a theoretical foundation for the establishment of industry standards and the promotion of relevant technologies.
Keywords：Engine Performance Optimization; Energy Saving And Emission Reduction Technology; Stratified Combustion Technology
目 录
摘要 I
Abstract II
一、绪论 1
(一) 汽车发动机性能优化的研究背景 1
(二) 节能减排技术的现实意义 1
(三) 国内外研究现状分析 1
(四) 本文研究方法与技术路线 2
二、发动机性能优化的关键技术 2
(一) 燃烧效率提升的技术路径 2
(二) 涡轮增压与进气系统优化 3
(三) 燃料喷射技术的改进策略 3
(四) 发动机热管理技术的应用 4
三、节能减排技术的核心方案 4
(一) 混合动力系统的开发与应用 4
(二) 新型燃料替代技术的研究 5
(三) 尾气后处理技术的优化设计 5
(四) 轻量化材料对节能减排的影响 6
四、性能优化与节能减排的综合评估 6
(一) 发动机性能测试与数据分析 6
(二) 节能减排效果的实验验证 7
(三) 技术经济性与环境效益评价 7
(四) 未来发展趋势与挑战 8
结 论 10
参考文献 11
