The Research And Application Of The Electric Vehicle Regenerative Braking Force

With the increase in the quantity of vehicles,the problem of energy isgrowing .Electric vehicles with its unique charm appeared in the people's view. Theexhaust emission of electric vehicles is much lower than the traditional cars, even zeroemissions. But at present the development of electric vehicles in general is subject tothe battery Capacity constraints, resulting in mileage can not catch their counterpartthe conventional cars. In order to satisfy the people's requirement, improve vehicle'senergy efficiency, regenerative braking technology is called out correspondingly.Regenerative braking technology can transform the energy which is used to brake,originally consumed as heat energy in to electrical energy stored up.First this paper described the electric vehicle regenerative braking technology'sdevelopment in china and other countries and its working principles and influencingfactors. Then analyzed and calculated the regenerative braking force, the vehicle'sbraking dynamics. First of all the braking must ensure the driving safety, thenconsidering the reusing energy. The main factors affect the braking effect is thebraking force distribution ratio. The vehicle studied in this article is pure electricvehicles and the power train is front wheel drive. In order to recover the brakingenergy as much as possible, let the front axle take most of the braking force. Besidesin order to ensure the safety of the driver The EU proposed ECE regulations, whichstipulate the limits of braking force distribution.Subsequently introduced some classic regenerative braking control strategy, andpointed out their respective advantages and disadvantages. Combining the brakingdynamics the characteristics of China's road and drive style, an improved controlmethod is proposed.To validate the braking force distribution strategy, then introduced the auto simulationsoftware ADVISOR2002, according to the control strategy mentioned above built themodel then embedded in the simulation software. Then chose the arterial road trafficCYC_ARTERIAL, U.S. federal test road traffic CYC_LA92 and New York City cycleCYC_NYCC to do simulation to validate the control strategy. Comparing withADVISOR's original control strategy, simulation results showed that the proposedcontrol strategy can recover braking energy to a greater extent, under the premise ofensuring driving safety. The energy recycling rate is much higher than theADVISOR2002's original control strategy.