摘要
制动能量回收是提升新能源汽车能效的关键技术,而急刹车工况下剧烈的能量逆向流动会引发电气系统瞬态冲击,导致高压母线纹波成分复杂化,直接威胁系统稳定性与部件寿命。本文旨在深入研究急刹车工况下高压系统纹波特性的演变规律与传播机制。采用连续小波变换方法,选取莫尔斯小波构建自适应滤波器组,对不同SOC状态下急刹车工况整车高压部件(电驱系统FM、空调压缩机ACCM)的电压、电流信号进行时频联合分析。最终发现,电驱系统逆变器是加速/急刹工况下高压系统的纹波核心来源,明确了纹波的传播机制,在纹波传播过程中,电压纹波呈现全域同步无衰减特性,而电流纹波则表现出频率选择性耦合特征,这为新能源汽车高压系统的纹波抑制提供了理论支撑。
Brake energy recovery is a key technology for improving the energy efficiency of new energy vehicles.However,the intense reverse energy flow under emergency braking conditions causes transient impacts on the electrical system,complicates the ripple components of the high-voltage bus,and directly threatens system stability and component lifespan.This paper aims to conduct an in-depth study on the evolution law and propagation mechanism of the ripple characteristics of the high-voltage system under emergency braking conditions.By using the continuous wavelet transform method,Morse wavelets are selected to construct an adaptive filter bank,and joint time-frequency analysis is conducted on the voltage and current signals of the vehicle's high-voltage components(electric drive system FM,air conditioning compressor ACCM)under emergency braking conditions with different SOC(State of Charge)states.It was ultimately found that the inverter of the electric drive system is the core source of the ripple in the high-voltage system under the acceleration-braking condition.The propagation mechanism of the ripple was clarified.During the ripple propagation process,the voltage ripple shows a global synchronous and non-decaying characteristic,while the current ripple exhibits a frequency-selective coupling feature.This provides theoretical support for the ripple suppression of the high-voltage system in new energy vehicles.
作者
刘静伟
张宝强
盖伟
刘嘉成
孙天昂
Liu Jingwei;Zhang Baoqiang;Gai Wei;Liu Jiacheng;Sun Tian'ang(CATARC New Energy Vehicle Research and Inspection Center(Tianjin)Co.,Ltd.,Tianjin 300000;Geely Automobile Research Institute(Ningbo)Co.,Ltd.,Ningbo 315336)
关键词
新能源汽车
急刹车工况
纹波
能量回收
连续小波变换
new energy vehicles
emergency braking conditions
ripple
energy recovery
continuous wavelet transform
