科技创新与应用2025，Vol.15Issue(31)：19-22,4.DOI:10.19981/j.CN23-1581/G3.2025.31.004
ESC与AEB协同优化的汽车主动安全控制策略及价值工程研究
摘要
Abstract
Aiming at the problem of insufficient integration of electronic stability control(ESC)system and automatic emergency braking(AEB)system in current automobile active safety technology,based on value engineering theory,this paper proposes a method for estimating and optimizing key parameters of ESC system and designing integrated control strategy.By improving the dual adaptive unscented Kalman filter(DAUKF)algorithm,dynamic noise matching of vehicle state parameters is achieved;and the estimation accuracy of road adhesion coefficient is optimized by combining recursive least squares(RLS)and nonlinear characterization method.At the control strategy level,a BP neural network PID controller and a dynamic quadrant determination method are designed,and a cascade AEB control architecture considering ESC delay compensation is constructed.Value engineering analysis shows that the optimization scheme not only improves parameter estimation accuracy(+23%),system response speed(+50%),and collision avoidance success rate(+16%),but also reduces hardware costs(-15%)through sensor fusion and multi-core ECU applications,and functional value factor reaches more than 1.4.The research results provide effective solutions for performance improvement and cost optimization of automotive active safety technology.关键词
电子稳定控制系统(ESC)/自动紧急制动系统(AEB)/双自适应无迹卡尔曼滤波(DAUKF)/神经网络/价值工程Key words
electronic stability control system(ESC)/automatic emergency braking system(AEB)/dual adaptive unscented Kalman filter(DAUKF)/neural network/value engineering分类
信息技术与安全科学引用本文复制引用
崔洪艳..ESC与AEB协同优化的汽车主动安全控制策略及价值工程研究[J].科技创新与应用,2025,15(31):19-22,4.基金项目
青岛黄海学院横向项目课题(2025370204000557) （2025370204000557）
