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Research On Hybrid Electric Vehicle Power System Matching And Control

Posted on:2017-12-01Degree:MasterType:Thesis
Country:ChinaCandidate:X J ZhangFull Text:PDF
GTID:2322330482481623Subject:Vehicle Engineering
Abstract/Summary:PDF Full Text Request
This paper is based on Huachen Haishi 4A15S_MT and converted it into a biaxial rear transmission parallel hybrid electric vehicle. A rear wheel drive module was established in Advisor for it can only simulate front wheel drive vehicle and established control strategy based on finite state machine theory in Matlab/Simulink and the control strategy was embedded into the Advisor. Through simulation to verify the rationality of rear wheel drive and control strategy. The main contents are as follows:(1)Select PHEV(parallel hybrid electric vehicle) after analyzing the SHEV?PHEV and SPHEV hybrid electric vehicle and choose biaxial rear-transmission structure after in depth analysis the structure characteristics of four kinds of PHEV.(2)Choose power components and conduct dynamic system parameter matching for the designed parallel hybrid electric vehicle and verify the dynamic performance b y programming.(3)A rear wheel drive automotive mathematical model is set up and the rear wheel drive model is set up in Matlab/Simulink by analyzing the characteristics of front wheel drive vehicle.(4)Select the Stateflow control strategy for its high precision and good robustness after in-depth analysis of several hybrid electric vehicle control strategies, establish the multi-mode control strategy in Matlab/Stateflow, which regards automotive demanding torque?engine speed and battery soc as the input parameters and recognize engine's and motor's output torque and the switching signal of motor as output parameters.(5)The development of rear-wheel drive car model and the multi-mode control strategy are embedded into Advisor, complete the second development of Advisor by modifying the power system parameters and simulation files.(6)Selecting UDDS?VAIL2NREL conditions?acceleration capacity and climbing ability options to analyze the control strategy in three aspects: front wheel drive vehicle with former control strategy and front wheel drive vehicle with new control strategy, rear wheel drive vehicle with former control strategy and rear wheel drive vehicle with new control strategy, front wheel drive vehicle with former control strategy and rear wheel drive vehicle with new control strategy.Analysis of the simulation results from four aspects: power?fuel economy? emission and battery soc, validation the reasonable of rear wheel drive and control strategy based on stateflow and achieve the goal of high power?low fuel consumption and low emission.
Keywords/Search Tags:PHEV, Parameter matching, Advisor, Stateflow, Control strategy
PDF Full Text Request
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