Font Size: a A A

Research On Regenerative Braking Control Strategy For Electric Vehicles Considering The Influence Of Road Adhesion Conditions

Posted on:2021-01-07Degree:MasterType:Thesis
Country:ChinaCandidate:W C HuFull Text:PDF
GTID:2392330647962028Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
Pure electric vehicles are regarded as the development trend of new modern vehicles because of their zero emissions,no pollution and no need to rely on traditional energy.However,due to the shortcomings of pure electric vehicles in terms of driving range,the process of promoting pure electric vehicles has been affected.The use of regenerative braking technology can extend the driving range of pure electric vehicles.Considering the conditions of pavement adhesion during actual driving,it is of practical significance to study the regenerative braking control technology considering the influence of pavement adhesion conditions.Considering the conditions of road adhesion during actual driving,it is of practical significance to study the regenerative braking control strategy considering the influence of road adhesion.This paper takes the safety and stability of electric vehicle braking as the premise.By studying the problem of electric vehicle identification of the current road surface type during driving,the optimization algorithm of electric vehicle braking force distribution coefficient and the problem of regenerative braking control strategy,the energy recovered during the regenerative braking process is increased as much as possible.The following will introduce the main research content of this paper:(1)A road recognition algorithm is designed and implemented.Without the use of additional sensors,only the CAN bus signals that can be extracted from electric vehicles are used to realize real-time identification of road types.(2)An optimized distribution algorithm of braking force variable ratio for electric vehicles considering the influence of road adhesion conditions and braking strength is designed and implemented,and the effectiveness and rationality of the algorithm is verified.(3)A regenerative braking control strategy considering the influence of road adhesion conditions is designed and implemented.The total braking force is distributed to obtain the vehicle front axle braking force.Then perform secondary distribution to obtain the distributed regenerative braking force and friction braking force.This ensures that the energy recovery efficiency of the electric vehicle during the regenerative braking process reaches the maximum value as much as possible,so as to recover more energy.(4)A simulation experiment is performed on the regenerative braking control strategy considering the influence of road adhesion conditions.The validity and reliability of thestrategy were verified by simulation experiments based on UDDS urban road cycling conditions under different road types.The main innovations of this paper are:(1)In order to improve the safety and stability of electric vehicles in the braking process,this paper proposes an optimized distribution algorithm of braking force variable ratio for electric vehicles considering the influence of road adhesion conditions and braking strength.(2)In order to maximize the efficiency of energy recovery when electric vehicles use regenerative braking technology,this paper proposes a regenerative braking control strategy considering the influence of road surface adhesion conditions.The energy recovered when regenerative braking occurs through the motor is as much as possible,and the energy lost through mechanical friction braking through the brake is as small as possible.
Keywords/Search Tags:pure electric vehicle, road identification, regenerative braking control strategy, braking force ratio
PDF Full Text Request
Related items