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Research On Energy Control Strategy Of Hybrid Electric Vehicle Based On ECMS

Posted on:2020-10-20Degree:MasterType:Thesis
Country:ChinaCandidate:W C LiuFull Text:PDF
GTID:2392330578975940Subject:Detection Technology and Automation
Abstract/Summary:PDF Full Text Request
Nowadays,automobiles have become an indispensable means of transportation in daily life,but due to environmental and energy problems,new energy vehicles have become a hot spot in current research.As a new energy vehicle with relatively mature technology and wide application,hybrid vehicles not only have great motion ability and economic benefit,but also can alleviate environmental pollution and energy shortage.As a structure with multiple power sources for engine and power battery motors,the hybrid vehicles need to design a reasonable energy control strategy to coordinate the work between the power sources to achieve efficient optimal energy distribution and reduce fuel consumption.Therefore,designing energy control strategy is an important part in hybrid vehicles research.Firstly,the article analyses the longitudinal force of the parallel hybrid vehicle,then establishes the vehicle dynamic model and forms the model of the main power components engine,motor and power battery one by one.During the operation,the article analyzes the power units working state and energy components flow direction in the hybrid vehicle,and laying the foundation for simulation of the hybrid vehicle.Then designing the fuzzy controller according to the characteristics of the hybrid system,and a fuzzy control strategy based on rules is built.Under the definition of equivalent consumption minimization strategy(ECMS),establishing the equivalent fuel consumption model and the power battery retention strategy.In the process of setting up the ECMS optimization objective function,power battery and engine fuel consumption are both taken into consideration.And analyzing the key parameters in the oil-electric conversion,using the particle swarm optimization(PSO)algorithm to optimize the equivalent coefficient to improve the ECMS energy control strategy.Finally,in order to compare the rule-based control strategy with the optimization-based control strategy,the Simulink model of ECMS strategy and fuzzy control model are established in ADVISOR and MATLAB software.Under the same working condition,the results show that the ECMS strategy based on PSO algorithm proposed in this paper has better control ability,distributing energy more efficiently and reducing fuel consumption.
Keywords/Search Tags:Hybrid electric vehicle, Equivalent consumption minimization strategy, Particle swarm optimization, Modeling and simulation
PDF Full Text Request
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