基于并聯(lián)混合動(dòng)力汽車的能量管理策略及AMT控制器研發(fā)
[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.
【學(xué)位授予單位】:重慶大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類號(hào)】:U469.7
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