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Control Of Braking Energy Recovery For Battery Electric Vehicle

Posted on:2016-01-25Degree:MasterType:Thesis
Country:ChinaCandidate:Z ChenFull Text:PDF
GTID:2272330503456844Subject:Control theory and control engineering
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Battery electric vehicle is a feasible technology, which is currently able to solve the energy shortages and environmental pollution issues. However, lack of endurance restricted the battery electric vehicle development and application. While the braking energy recovery technology is a way which is the most effective and easy to realize, and is able to promote the vehicle endurance. This paper mainly studies recycle energy, and how to efficiently recycle and reuse to increase the driving distance when the battery electric vehicle regenerative braking.This paper firstly established the mechanical model of the vehicle, then researched the structure and working principle of the braking energy recovery system for battery electric vehicle, given the control circuit of braking energy recovery system which the driving motor is the permanent magnet brushless DC motor, and focus on parsing the principle of permanent magnet brushless DC motor and bidirectional DC/DC converter which they are in the control circuit, when the vehicle is regenerative braking. In order to efficient recovery of braking energy, analyzed the braking energy flow and convert relationship, and thus studied the main influence factors which restrict the braking energy recovery capability.According to the already existing motor regenerative braking control strategy, the paper analyzed the characteristics of each strategy, and not only proposed using a braking torque regenerative braking control strategy to recycle the braking energy, but also designed its basic control idea. In order to improve the recovery of energy, according to the braking energy recovery strategies that are the look-up table method which is provided by ADVISOR and the fuzzy algorithm which is presented by literature [50], this paper designed an improved braking energy recovery fuzzy strategy, and based on ADVISOR, established the simulation models for experimental verification. The results show that, compared with the previous two braking energy recovery control strategies, using the improved control strategy can make the braking energy recovery efficiency increased by 29.5%, and the vehicle effective energy recovery rate is increased by 7.3%, namely effectively improve the battery electric vehicle endurance.In order to reduce the battery power issues affecting the dynamic performance, braking energy recovery and the driving mileage of pure electric vehicles, this paper presented a parallel type lead-acid battery & lithium battery dual energy system, and given the dual energy main loop control circuit, meanwhile, its principle is analyzed. By studying the energy distribution strategy of dual energy system, based on ADVISOR simple redevelopment, built a parallel VRLA & lithium battery dual-energy battery electric vehicles simulation platform, and conducted its performance simulation, the results show that using the parallel VRLA & lithium battery dual-energy has been greatly improved for battery electric vehicle power performance and economy. Aiming at the problem of braking energy recovery, the paper proposed a dual energy regenerative braking energy recovery fuzzy control strategy and established the simulation models for experimental verification, the results showed that the parallel VRLA & lithium battery dual-energy battery electric vehicle using the regenerative braking energy recovery fuzzy control strategy can reduce the energy loss, and the braking energy recovery efficiency and the effective energy recovery of vehicle improved by 29.8% and 10.8%, and effectively prolong its mileage.
Keywords/Search Tags:battery electric vehicle, braking energy recovery, permanent magnet brushless DC motor, Bidirectional DC/DC converter, dual-energy system, fuzzy algorithm
PDF Full Text Request
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