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Research On Parameter Matching And Energy Management Strategy Of Hybrid Energy Storage System For Electric Vehicles

Posted on:2021-03-25Degree:MasterType:Thesis
Country:ChinaCandidate:B W DingFull Text:PDF
GTID:2392330611963166Subject:Control engineering
Abstract/Summary:PDF Full Text Request
Against the background of increasing scarcity of fossil energy and environmental protection issues,new energy vehicle-related industries have developed rapidly in recent years.The pure electric vehicle(Battery Electric Vehicle,BEV)has obvious advantages in environmental protection,and its market share has increased year by year.However,the popularization of pure electric vehicles still faces many problems,mainly limited by the shortcomings of low power density,fast capacity decay,and high price of power batteries.Supercapacitors are recently emerging high specific power energy storage components.Their advantages of good low-temperature operating characteristics,long service life,and fast charging and discharging can be combined with power batteries to form complementary performance advantages.Through the organic combination of the DC/DC power converter between the super capacitor and the vehicle battery to form a composite power system,it can give full play to the respective advantages of the two energy storage components,avoid falling into the performance dilemma of a single power supply,and open up a new idea for the design of BEV energy storage system.Formulating a safe and efficient composite power supply energy management strategy can give full play to the performance advantages of the composite power supply,which can not only extend the service life of the composite power supply,but also reduce travel costs.This article makes an indepth exploration of the current application difficulties and key points of the composite power supply,mainly covering the characteristics analysis of composite power supply components and topology selection,motor and energy storage system parameter configuration,energy management strategy research,and the redevelopment of ADVISOR software and simulation test analysis,the specific content includes:(1)Research on the working characteristics of each component of the composite power supply and select the appropriate topology based on it to create a system component model.The basic parameters of the motor were calculated and designed to meet the requirements of BEV basic dynamic performance indicators.According to the requirements of the vehicle's driving range,taking four standard cycle conditions as an example,the power requirements and energy requirements of the battery and supercapacitor are calculated based on the working mode of the energy storage system.According to the constraints,combined with the mainstream batteries on the market,Super capacitor specifications,complete the matching of the parameters of the energy storage system,so that the energy storage system meets the vehicle power performance requirements,while the total cost is the lowest.(2)In order to achieve the optimal power distribution of the composite power supply,the working mode and energy management goals of the composite power supply are first specifically analyzed.Based on this,the fuzzy controllers under the driving and braking working conditions are designed to reasonably allocate the required power of the motor to the energy storage system.Aiming at the shortcomings of traditional fuzzy control that relies on prior knowledge and parameter settings are greatly influenced by human factors,a group intelligent optimization algorithm is introduced-the two-subgroup Drosophila optimization algorithm adopts iterative optimization on the position coordinates of the membership function of the fuzzy controller in terms of unit mileage The minimum battery power is the objective function,so that the optimization process of the fuzzy controller is in the direction of reducing the battery operating current and the energy consumption of the entire vehicle.(3)Through the redevelopment of the original single power BEV model of the ADVISOR simulation software,a new composite power BEV model was constructed,and on this basis,a simulation test was conducted to test whether the parameter configuration and energy control strategy formulated above were effective.Simulation results show that the BEV equipped with a composite power supply is significantly more dynamic than the traditional single-power BEV vehicle.The fuzzy control strategy optimized by the Gemini Drosophila algorithm can give full play to the performance advantages of supercapacitors,share the working pressure of the battery,reduce the battery operating current,avoid the frequent occurrence of large currents to damage the battery,delay battery aging,and also improve The efficiency of energy regeneration and recovery in the braking mode reduces the energy consumption of vehicle travel and extends the cruising range of the vehicle.
Keywords/Search Tags:Battery electric vehicle, Hybrid energy storage system, Parameter matching, Energy management strategy, Fuzzy control
PDF Full Text Request
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