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Brake Mode Switching Strategy of Electric Vehicles Based on Brake Stability
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作者 XUJia pengzhengming +1 位作者 CHENJing ZHANGLijie 《外文科技期刊数据库(文摘版)工程技术》 2022年第2期194-199,共6页
The control strategy is firstly the first braking power according to the fuzzy control algorithm, considering the speed, the battery SOC and the battery maximum charging power limit to obtain the maximum braking speed... The control strategy is firstly the first braking power according to the fuzzy control algorithm, considering the speed, the battery SOC and the battery maximum charging power limit to obtain the maximum braking speed, thus the secondary distribution of the hydraulic braking torque. Then the brake control strategy can reduce the impact of the EV braking mode conversion process, and meet the braking demand and brake safety, which proves the effectiveness of the control strategy. In order to ensure the braking stability of the vehicle and further improve the energy utilization rate of electric vehicles, the vehicle speed refueling controller, battery charging state and braking force are used as the energy variables, and the braking force distribution coefficient is taken as the output variable. The braking power distribution coefficient is recommended, considering the stability requirements of the engine, battery, and braking system, to distribute mechanical braking and engine regeneration to the front and rear axles of the machine. Simulation of the developed regenerative braking strategy is analyzed and incorporated into the AVL cruise park model. The results show that this strategy improves braking stability and comfort over the classical ECE curve control strategy, increasing FTP75 by 17.22% compared to the classical ECE curve control strategy 展开更多
关键词 pure electric vehicle braking intention recognition braking stability brake mode switching contr
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