Energy Control Strategy And AMT Controller Design Basedon Parallel Hybrid Electrical Vehicle

Recently, in order to reduce the pressure on the world's energy and the environment, many countries aroud the world are turning to the studies of hybrid electric vehicles, which facilitates the construction of a resource-saving and environment-friendly society.Hybrid energy control strategy, as the core technology of Hybrid Electric Vehicle, achieves the aims of optimizing the economy of cars and driving comfortably by applying to the torque distribution between engine and generator. This thesis takes parallel hybrid electric vehicle as object to have a research on the energy optimization management strategy of hybrid power and verify the accuracy and practicabilityof these management strategies based on the simulating platform. In the meanwhile,this thesis realizes the design of AMT(Automated Mechanical Transmission)controller based on D2P(From Development To Production)rapid development processing and finally verifies the control strategy of AMT controller and vehicle energy optimal management strategy through test bench experiment.Firstly, this thesis theoretically analyzesand sets up corresponding simulation models to the parallel hybrid electric vehicle components, like the engine, the motor, the batteries,the clutch, the AMT transmission and vehicle body, which finallyestablishes vehicle simulation platform for a parallel hybrid electric vehicle, and conducts a test for the models on the platform to verify the reliability.In order to study the parallel hybrid electric vehicle energy management strategy, this thesis deduces the operator of system equivalent fuel consumption by researching and processing the mathematical description of vehicle backward simulation model. On the basis of mathematical model and PMP(Pontryagin's minimum principle), it also deduces the necessary requirements of optimal hybrid power energy management strategy and analysis the issues when PMP achieving the global optimum. Then this thesis simplifies and analyzes those issues through ECMS(Equivalent Consumption Minimization Strategy)approximately simulating PMP. And through ECMSoptimal control strategy,it gets the torque output distribution between engine and generatorand obtains shift schedulecurve. Then it verifies ECMS optimal management strategy in the parallel hybrid simulation platform.To develop AMT control algorithm in D2 P platform, it includes system input signal processing algorithms, the shifting motor-driven algorithms and Clutch-driven open algorithms. Wherein the input signal processing comprises a gear lever signal, brake signal, accelerator pedal signal, the shifting clutch motor signals and motor signals.To futher studyshift strategy of the parallel hybrid electric vehicle, this thesis designs AMT controller through D2 P rapid development process,providing the experimental platform for verifying the shifting strategy. This thesis also proposes control strategy of AMT controller which includes formal strategy, fault diagnosis strategy and self-learning strategy. There are four modules in formal strategy: the operating mode judgment and gear-shifting control, optional shift drive control, unfold and close control of clutch, drive control of clutch.By verifying the control strategy of AMT controller and energy management strategy's optimizing control algorithm of the parallel hybrid electric vehicle on the test bench, this thesis finally verifies its practicability and optimization.