基于并联混合动力汽车的能量管理策略及AMT控制器研发
发布时间：2019-03-17 16:44
【摘要】：为了减轻世界能源和环境的压力,更好的构建资源节约和环境友好型社会,目前世界各国正大力发展混合动力汽车。混合动力汽车能量管理策略作为混合动力汽车的核心技术,通过对发动机和电机的转矩分配及选择合理的换档策略,实现优化整车驾驶舒适性和经济性的目的。本文将并联式混合动力汽车作为研究对象,充分研究了其能量优化管理策略,基于并联混合动力汽车仿真平台验证了能量优化管理策略的正确性和实用性。同时基于D2P(From Development To Production)快速开发流程实现电控机械自动变速器AMT(Automated Mechanical Transmission)控制器的研发设计,最后通过测试系统验证AMT控制器控制策略及整车的能量优化管理策略。本文首先对并联混合动力汽车系统的发动机、电池、电机、离合器、电控机械自动变速器AMT和车身等部件进行理论分析并建立对应的仿真模型,最终建立起并联混合动力汽车的整车仿真模型,并对整车仿真模型进行仿真实验,从而验证平台的可靠性。为了研究并联混合动力汽车的能量管理策略,通过研究车辆的后向仿真模型的数学描述,并对数学描述进行处理,推导出系统等效燃油消耗的数学表达式。在数学模型的基础上,利用庞特里亚金最小化原理优化算法PMP(Pontryagin's minimum principle)推导混合动力能量管理策略在求取全局最优策略时的必要条件,同时分析出PMP在求解全局最优时需要处理的问题。针对PMP求取全局最优解遇到的问题,运用ECMS(Equivalent Consumption Minimization Strategy)近似模拟PMP,简化分析问题。通过ECMS优化控制策略,得到发动机和电机的转矩输出分配策略和换档策略。然后在并联混合动力仿真平台验证ECMS优化管理策略。为了进一步研究并联混合动力汽车能量管理策略中的换档策略,本文通过D2P快速开发流程设计研发了AMT控制器,为验证换档策略提供了实验平台。本文设计了AMT控制器的控制策略,其控制策略包括正常模式下的控制策略、故障诊断策略和自学习策略,其中正常模式下的控制策略包括四个模块:工况判断和换档控制、选换档驱动控制、离合器打开和闭合控制、离合器驱动控制。最后,本文通过搭建测试系统,充分验证了AMT控制器的控制策略的实用性和并联混合动力汽车的能量优化管理策略优化效果。
[Abstract]:In order to reduce the pressure of energy and environment in the world and build a better resource-saving and environment-friendly society, countries around the world are developing hybrid vehicles. As the core technology of hybrid electric vehicle (HEV), the energy management strategy of hybrid electric vehicle (HEV) realizes the goal of optimizing the driving comfort and economy of whole vehicle by allocating the torque of engine and motor and choosing reasonable shift strategy. In this paper, the parallel hybrid vehicle is taken as the research object, and its energy optimization management strategy is fully studied. The correctness and practicability of the energy optimization management strategy are verified based on the parallel hybrid vehicle simulation platform. At the same time, based on D2P (From Development To Production) rapid development flow, the research and design of AMT (Automated Mechanical Transmission) controller for electronic control mechanical automatic transmission is realized. Finally, the control strategy of AMT controller and the optimal management strategy of whole vehicle energy are verified by testing system. In this paper, the engine, battery, motor, clutch, automatic transmission AMT and auto-body of parallel hybrid electric vehicle system are analyzed theoretically and the corresponding simulation model is established. Finally, the whole vehicle simulation model of parallel hybrid electric vehicle is established, and the whole vehicle simulation model is simulated to verify the reliability of the platform. In order to study the energy management strategy of parallel hybrid electric vehicle, the mathematical expression of the equivalent fuel consumption of the system is derived by studying the mathematical description of the vehicle's backward simulation model and dealing with the mathematical description. On the basis of the mathematical model, the necessary condition of the hybrid power energy management strategy in finding the global optimal strategy is deduced by using the optimization algorithm PMP (Pontryagin's minimum principle) of Pontriagin's principle of minimization. At the same time, the problems that PMP needs to deal with in solving the global optimization are analyzed. In order to solve the problem of solving the global optimal solution of PMP, the ECMS (Equivalent Consumption Minimization Strategy) approximation is used to simulate the simplified analysis problem of PMP,. Through the ECMS optimal control strategy, the torque output distribution strategy and shift strategy of engine and motor are obtained. Then, the optimal management strategy of ECMS is verified on the parallel hybrid power simulation platform. In order to further study the shift strategy in the energy management strategy of parallel hybrid vehicle, this paper designs and develops the AMT controller through the D2P rapid development process, which provides an experimental platform for verifying the shift strategy. In this paper, the control strategy of AMT controller is designed. The control strategy includes normal mode control strategy, fault diagnosis strategy and self-learning strategy. The control strategy in normal mode includes four modules: condition judgment and shift control. Shift drive control, clutch open and close control, clutch drive control. Finally, the paper fully verifies the practicability of the control strategy of the AMT controller and the optimization effect of the energy optimization management strategy of the parallel hybrid electric vehicle by building the test system.
【学位授予单位】：重庆大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：U469.7
本文编号：2442483
[Abstract]:In order to reduce the pressure of energy and environment in the world and build a better resource-saving and environment-friendly society, countries around the world are developing hybrid vehicles. As the core technology of hybrid electric vehicle (HEV), the energy management strategy of hybrid electric vehicle (HEV) realizes the goal of optimizing the driving comfort and economy of whole vehicle by allocating the torque of engine and motor and choosing reasonable shift strategy. In this paper, the parallel hybrid vehicle is taken as the research object, and its energy optimization management strategy is fully studied. The correctness and practicability of the energy optimization management strategy are verified based on the parallel hybrid vehicle simulation platform. At the same time, based on D2P (From Development To Production) rapid development flow, the research and design of AMT (Automated Mechanical Transmission) controller for electronic control mechanical automatic transmission is realized. Finally, the control strategy of AMT controller and the optimal management strategy of whole vehicle energy are verified by testing system. In this paper, the engine, battery, motor, clutch, automatic transmission AMT and auto-body of parallel hybrid electric vehicle system are analyzed theoretically and the corresponding simulation model is established. Finally, the whole vehicle simulation model of parallel hybrid electric vehicle is established, and the whole vehicle simulation model is simulated to verify the reliability of the platform. In order to study the energy management strategy of parallel hybrid electric vehicle, the mathematical expression of the equivalent fuel consumption of the system is derived by studying the mathematical description of the vehicle's backward simulation model and dealing with the mathematical description. On the basis of the mathematical model, the necessary condition of the hybrid power energy management strategy in finding the global optimal strategy is deduced by using the optimization algorithm PMP (Pontryagin's minimum principle) of Pontriagin's principle of minimization. At the same time, the problems that PMP needs to deal with in solving the global optimization are analyzed. In order to solve the problem of solving the global optimal solution of PMP, the ECMS (Equivalent Consumption Minimization Strategy) approximation is used to simulate the simplified analysis problem of PMP,. Through the ECMS optimal control strategy, the torque output distribution strategy and shift strategy of engine and motor are obtained. Then, the optimal management strategy of ECMS is verified on the parallel hybrid power simulation platform. In order to further study the shift strategy in the energy management strategy of parallel hybrid vehicle, this paper designs and develops the AMT controller through the D2P rapid development process, which provides an experimental platform for verifying the shift strategy. In this paper, the control strategy of AMT controller is designed. The control strategy includes normal mode control strategy, fault diagnosis strategy and self-learning strategy. The control strategy in normal mode includes four modules: condition judgment and shift control. Shift drive control, clutch open and close control, clutch drive control. Finally, the paper fully verifies the practicability of the control strategy of the AMT controller and the optimization effect of the energy optimization management strategy of the parallel hybrid electric vehicle by building the test system.
【学位授予单位】：重庆大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：U469.7
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