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Study On Regenerative Brake Control Algorithm Based On Braking Intention Identification

Posted on:2014-01-22Degree:MasterType:Thesis
Country:ChinaCandidate:Q Z MaFull Text:PDF
GTID:2232330395998020Subject:Vehicle Engineering
Abstract/Summary:PDF Full Text Request
As the government and the society put more and more emphasis on environment and energy issues, the technology of pure electric car has been deeply developed and has entered an important stage. As one of the key technologies of energy saving and environment protection, regenerative brake technology of pure electric car exists a lot of thorny issues to solve. Braking intention is part of the driving intention, different braking intentions require different braking performance, and different braking performance requires distributing hydraulic braking force and regenerative braking force reasonable. Therefor,this article proposes a regenerative brake control algorithm based on braking intention recognition. The main contents are as follows:(1)The displacement of brake pedal, the displacement rate of brake pedal, the displacement of accelerator pedal and vehicle velocity are selected as the parameters of the braking intention recognition. The fuzzy control is used for nine braking intention recognition.(2)The required brake torque is allocated reasonably in each intention. On the basis of the theory of the brake force distribution, combined with the characteristics of motor and battery and the ECE regulations, the front and rear axle braking forces are allocated.(3)The hydraulic braking force on the front axle and motor braking force are assigned by the characteristics of various braking intention to guarantee the brake safety, and at the same time, recover braking energy as much as possible.(4)This thesis establishes a model of brake energy recuperation control system based on braking intention recognition on Matlab/Simulink software platform. Compared with previous braking force distribution control algorithm in the safety of emergency and intensive braking, and in the rate of braking energy recuperation of small and medium braking, the algorithm is verified that motor takes a little part in braking through emergency braking and big strength braking, and motor quits quickly when it is likely to trigger ABS. Thus the vehicle security can be guaranteed. The rate of braking energy recuperation is bigger than those algorithms ever before in little and medium braking. Then these prove the feasibility of the algorithm.The innovation of this paper is as follows:(1)Driver’s braking intention was classified more precisely.(2)Compared with the original braking intention recognition algorithm, choose more braking intention recognition parameters to identify driver’s braking intention accurately(3)The braking force distribution algorithm based on braking intention recognition, identify driver’s braking intention accurately, at the same time, distribute braking force reasonable...
Keywords/Search Tags:Braking intention identification, Fuzzy control, Regenerative braking, Emergencebraking, Offline simulation
PDF Full Text Request
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