The Optimization Algorithm And Applied Research For Hybrid Electric Vehicle System

Environmental pollution and lack of oil resources are the two biggest problemswhich the automotive industry facing today, new energy vehicles has become aneffective solution to deal with environmental issues and the shortage of oil, andtherefore the early twentieth century, governments and major vehicle companies bothstart to develop new energy automotive and its key technology development, theMinistry of Science in China has pushed the new energy vehicle and componentdevelopment as863major high-tech content in "Tenth Five-Year","EleventhFive-Year" period. The author has joined in research work which is one of the majorprojects of the national863electric vehicles "plug-in hybrid electric city bus (PHEB)research and development", and this project was carried on by Zhengzhou YutongBus Co., Ltd. Which aimed to develop PHEB, this is a kind of new energy vehicles,and this article contains the basic research of the working part.Hybrid electric vehicle (HEV) performance depends on three aspects as theselected momentum coupling scheme for car, matched the power system and controlstrategy. The control strategy is the core aspects of the HEV development process, isnot only to achieve the best fuel economy, emissions and power, but also to adapt todifferent operating conditions, driving style, battery life and the various componentsreliability, it is a top priority of research process, and so developing optimizationalgorithm which can improve control strategy of the HEV is theoretical significanceand practical value. This paper aims to the problems in control strategy for combinedHEV, and combines with Fuzzy Control technique, Fuzzy Clustering algorithm andmulti-objective optimization to get further study, the main work is as follows:(1) First this paper introduces the background of this subject and overview ofHEV’s development, highlights the status of control strategy for HEV, and pointesout that the optimization and improvement of the control strategy is one of the keytechnologies to improve the performance of HEV. For completing the simulation for these optimization programs, this paper used the two simulation software asAVL-CRIUSE and MATLAB/SIMULINK, to build a combined hybrid electric bus(CHEB) simulation model and optimal control strategy model, and combines them toget the simulation for optimization algorithm.(2) To the control strategy optimization, this paper made a total of three kindsof optimization algorithms, namely: control strategy based on the rules is computingsimply and easily to use on vehicles, but fuel efficiency is not obvious, so in order toimprove the fuel economy, it advances a optimization algorithms for HEV based onthe power resolved; the control strategy based on the forecast of driving cyclesrequires a lot of equipment to support, and it’s not easy to popularize, so this paperbuild a HEV’s driving cycle prediction algorithm based on the theory of fuzzyclustering; aiming to that global optimization control strategy need to know thedriving cycles of the car, and so it has a shortcoming to get vehicle applications, thispaper combines driving cycles prediction algorithm with global optimization controlstrategy to build a control strategy which make better fuel economy and can beapplied to the vehicle.(3) Completing the three kinds of simulation model of optimization algorithmsin the MATLAB/SIMULINK environment, and getting a simulation with thevehicle model, testing these algorithms to get the result of fuel economy, power andengine running conditions, and it’s comparing the simulated data to determine thesealgorithms achieve optimal results or not. In the end, these algorithms ensure thepower and improve fuel economy rate after the simulation, it’s in line with thedesign requirements of this article.As one of the major key techniques, control strategy needs to develop andconsummate continuously. This Paper optimized and improved the control strategyof Combined HEV using relative knowledge and validated the proposed strategieswith the simulation. The significance of the work in this dissertation lies inimproving the domestic research and development of The HEV and Promoting theindustrialization of the HEV.