摘要
混合动力汽车作为传统燃油汽车与纯电动汽车之间的过渡方案，在节能减排方面具有重要意义，其能量管理策略直接影响车辆的燃油经济性、排放性能及动力性。为此，本文聚焦于混合动力汽车能量管理策略研究，旨在通过优化控制算法实现发动机与电动机的最佳协同工作，以提升车辆综合性能。基于此目的，采用模型预测控制方法构建了混合动力汽车能量管理策略模型，该模型能够实时预测未来行驶工况并据此调整发动机和电动机的功率分配。为验证所提策略的有效性，利用ADVISOR软件搭建仿真平台进行对比实验，结果表明相较于传统规则型控制策略，所提出的模型预测控制策略可使整车燃油经济性提高约12%，同时在不同驾驶循环下均能有效降低有害气体排放量。此外，该策略还兼顾了车辆的动力性需求，在加速响应等方面表现出色。创新之处在于将模型预测控制应用于混合动力汽车能量管理领域，实现了对复杂动态系统的精确控制，为后续研究提供了新思路与方法借鉴。
关键词：混合动力汽车；能量管理策略；模型预测控制
Abstract
Hybrid electric vehicles (HEVs) serve as a transitional solution between conventional internal combustion engine vehicles and pure electric vehicles, playing a significant role in energy conservation and emission reduction. The energy management strategy of HEVs directly influences the vehicle's fuel economy, emission performance, and dynamic performance. To address these challenges, this study focuses on optimizing the energy management strategy for HEVs by developing an advanced control algorithm that achieves optimal coordination between the internal combustion engine and the electric motor, thereby enhancing overall vehicle performance. Specifically, a model predictive control (MPC) approach is employed to construct an energy management strategy model for HEVs. This model can predict future driving conditions in real-time and adjust the power distribution between the engine and the electric motor accordingly. To validate the effectiveness of the proposed strategy, a simulation platform was established using ADVISOR software for comparative experiments. The results demonstrate that, compared with traditional rule-based control strategies, the MPC-based strategy improves the vehicle’s fuel economy by approximately 12% and effectively reduces harmful emissions across various driving cycles. Additionally, the proposed strategy also meets the vehicle's dynamic performance requirements, exhibiting superior performance in acceleration response. The innovation lies in applying MPC to the energy management of HEVs, achieving precise control of complex dynamic systems and providing new insights and methodological references for future research.
Keywords：Hybrid Electric Vehicle; Energy Management Strategy; Model Predictive Control
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) 国内外研究现状综述 1
(三) 本文研究方法概述 2
二、混合动力汽车能量管理策略基础理论 2
(一) 混合动力系统工作原理 2
(二) 能量流动分析模型构建 3
(三) 关键性能指标定义 4
(四) 策略评价体系建立 4
三、基于工况识别的能量管理策略优化 5
(一) 工况特征参数提取 5
(二) 动态工况预测算法 6
(三) 自适应能量分配机制 6
(四) 实时优化控制策略 7
四、智能化能量管理策略设计与实现 7
(一) 多目标优化模型构建 8
(二) 机器学习算法应用 8
(三) 预测性能量管理策略 9
(四) 系统集成与验证方案 9
结 论 11
参考文献 12
混合动力汽车作为传统燃油汽车与纯电动汽车之间的过渡方案，在节能减排方面具有重要意义，其能量管理策略直接影响车辆的燃油经济性、排放性能及动力性。为此，本文聚焦于混合动力汽车能量管理策略研究，旨在通过优化控制算法实现发动机与电动机的最佳协同工作，以提升车辆综合性能。基于此目的，采用模型预测控制方法构建了混合动力汽车能量管理策略模型，该模型能够实时预测未来行驶工况并据此调整发动机和电动机的功率分配。为验证所提策略的有效性，利用ADVISOR软件搭建仿真平台进行对比实验，结果表明相较于传统规则型控制策略，所提出的模型预测控制策略可使整车燃油经济性提高约12%，同时在不同驾驶循环下均能有效降低有害气体排放量。此外，该策略还兼顾了车辆的动力性需求，在加速响应等方面表现出色。创新之处在于将模型预测控制应用于混合动力汽车能量管理领域，实现了对复杂动态系统的精确控制，为后续研究提供了新思路与方法借鉴。
关键词：混合动力汽车；能量管理策略；模型预测控制
Abstract
Hybrid electric vehicles (HEVs) serve as a transitional solution between conventional internal combustion engine vehicles and pure electric vehicles, playing a significant role in energy conservation and emission reduction. The energy management strategy of HEVs directly influences the vehicle's fuel economy, emission performance, and dynamic performance. To address these challenges, this study focuses on optimizing the energy management strategy for HEVs by developing an advanced control algorithm that achieves optimal coordination between the internal combustion engine and the electric motor, thereby enhancing overall vehicle performance. Specifically, a model predictive control (MPC) approach is employed to construct an energy management strategy model for HEVs. This model can predict future driving conditions in real-time and adjust the power distribution between the engine and the electric motor accordingly. To validate the effectiveness of the proposed strategy, a simulation platform was established using ADVISOR software for comparative experiments. The results demonstrate that, compared with traditional rule-based control strategies, the MPC-based strategy improves the vehicle’s fuel economy by approximately 12% and effectively reduces harmful emissions across various driving cycles. Additionally, the proposed strategy also meets the vehicle's dynamic performance requirements, exhibiting superior performance in acceleration response. The innovation lies in applying MPC to the energy management of HEVs, achieving precise control of complex dynamic systems and providing new insights and methodological references for future research.
Keywords：Hybrid Electric Vehicle; Energy Management Strategy; Model Predictive Control
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) 国内外研究现状综述 1
(三) 本文研究方法概述 2
二、混合动力汽车能量管理策略基础理论 2
(一) 混合动力系统工作原理 2
(二) 能量流动分析模型构建 3
(三) 关键性能指标定义 4
(四) 策略评价体系建立 4
三、基于工况识别的能量管理策略优化 5
(一) 工况特征参数提取 5
(二) 动态工况预测算法 6
(三) 自适应能量分配机制 6
(四) 实时优化控制策略 7
四、智能化能量管理策略设计与实现 7
(一) 多目标优化模型构建 8
(二) 机器学习算法应用 8
(三) 预测性能量管理策略 9
(四) 系统集成与验证方案 9
结 论 11
参考文献 12
