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Master Of Science In Engineering Global Optimization Of Energy Management For Plug-In Hybrid Electric Bus

Posted on:2017-05-04Degree:MasterType:Thesis
Country:ChinaCandidate:Y G ZhaoFull Text:PDF
GTID:2322330536951993Subject:Vehicle engineering
Abstract/Summary:PDF Full Text Request
Because the problems of energy dilemma and environmental pollution are becoming more and more worse,it is of vital importance to improve the fuel oil efficiency and to improve the emission performance.Plug-in hybrid electric vehicle is better than conventional vehicle,but horse than the electrical vehicles which are low consumption of fuel and zero-discharge.It can remit the problems of improving the fuel oil efficiency and the emission performance,through there are bottlereck of power battery technologies and relatively lagging charging facilities.The stratrgy of new energy vehicles focus on the PHEV which regard the energy control as the developing key problems.So it is very significant to carry out research on energy control.The paper put the length of 10.5m PHEV of Zhongtong Bus Holding Co.,Ltd as the research object and base on dynamic programming algorithm to make global optimization for strategy of energy control.First,plug-in hybrid electric vehicle power system was matched to technical requirements providing by Zhongtong Bus Holding Co.,Ltd.The numerical number of engine,motor,transmission,battery and so on was identified,through vehicle dynamics theory.Then,quasi-static model was built about engine and motor.Mathematic model about energy management and optimization was built,based on the optimal control theory.And arithmetic programs of global optimum wre built on MATLAB software system and theory of dynamic programming.At last,based on the result of global optimal,AMT shift control strategy and power management control strategy was extracted.On the basis of Power Split Ratio(PSR),four models were defined,and research each meaning of model.Working conditions were excavated about motor and engine,through analysis deeply of four models and data.Global optimization results show: When 10.5m Plug-in hybrid electric vehicle arrived in finishing point and SOC drop down to 0.35,SOC can play the best function.At low speed,Motor is main power source,engine is second power source.
Keywords/Search Tags:Plug-in hybrid electric vehicle, Power matching calculation, energy management, dynamic programming
PDF Full Text Request
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