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紧急制动下电动汽车电子式制动器防抱死控制

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电动汽车制动时可利用电机进行再生制动,将制动过程中的动能转化为电能储存于动力电池中,可有效节约能源并提高车辆续航里程.然而,电动汽车的电机滑移率受紧急制动影响,时刻在变化,呈现模糊性,难以满足任意时刻尤其是车轮抱死后的驾驶员制动需求.在此背景下,研究一种紧急制动下电动汽车电子式制动器防抱死控制方法.使用磁电式传感器来采集电动汽车车轮轮速并实施预处理,并根据车轮转速计算滑移率.根据理想滑移率计算滑移率差值,将滑移率差值作为控制器的输入,设计自适应模糊PID控制器,生成制动控制信号.根据制动控制信号调节电子制动力矩与再生制动力矩,防止车轮抱死.结果表明:紧急制动后,在自适应模糊PID控制器下,电动汽车的滑移率迅速降低到理想范围(15%至20%)内.另外,所研究方法在各种路面工况下的制动距离均相对较小,表现出较好的防抱死控制效果.
Electronic Brake Anti-lock Control for Electric Vehicles Under Emergency Braking
Electric vehicles can use electric motors for regenerative braking,converting the kinetic energy during the braking process into electrical energy and storing it in the power battery,which can effectively save energy and improve the vehicle's range.However,the motor slip rate of electric vehicles is affected by emergency braking,constantly changing and presenting ambiguity,making it difficult to meet the braking needs of drivers at any time,especially after wheel lock up.In this context,a study is conducted on an electronic brake anti-lock control method for electric vehicles under emergency braking.Magneto-electric sensors are used to collect and preprocess the wheel speed of electric vehicles,and the slip rate is calculated based on the wheel speed.The slip rate difference is calculated based on the ideal slip rate.The slip rate difference is used as input to the controller,an adaptive fuzzy PID controller is designed,and a braking control signal is generated.The electronic braking torque and regenerative braking torque are adjusted based on the braking control signal to prevent wheel lock up.The results show that after emergency braking,under the adaptive fuzzy PID controller,the slip rate of electric vehicles quickly decreases to the ideal range(15%to 20%).In addition,the braking distance of the studied method is relatively small under various road conditions,demonstrating good anti-lock braking control efficacy.

emergency brakingelectric vehicleselectronic brakeadaptive fuzzy PID controlleranti-lock braking control

张海松、寿翔、陈宁

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浙江机电职业技术大学,杭州 310053

杭州电子科技大学 信息工程学院智能感知研究中心,杭州 311308

紧急制动 电动汽车 电子式制动器 自适应模糊PID控制器 防抱死控制

2024

机械设计与研究
上海交通大学

机械设计与研究

CSTPCD北大核心
影响因子:0.531
ISSN:1006-2343
年,卷(期):2024.40(6)