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

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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；价值工程中图分类号：TP273 文献标志码：A 文章编号：2095-2945（2025）31-0019-04

Abstract：Aimingattheproblemofinsuffcientintegrationofelectronicstabilitycontrol（ESC）systemandautomatic emergencybraking（AEB）systemincurentautomobileactivesafetytechnology，basedonvalueenginering theorythispaper proposesamethodforestimatingandoptimizingkeyparametersofESCsystemanddesigningintegratedcontrolstrategy.By improvingthedualadaptiveunscentedKalmanfilter（DAUKF）algorithm，dynamicnoisematchingofvehiclestateparametersis achieved;andtheestimationaccuracyofroadadhesioncoeficientisoptimizedbycombiningrecursiveleastsquares（LS）and nonlinearcharacterizationmethod.Atthecontrolstrategylevel，aBPneuralnetworkPIDcontrolerandadynamicquadrant determinationmethodaredesigned，andacascadeAEBcontrolarchitectureconsideringESCdelaycompensationisconstructed. Valueengineering analysis shows that theoptimization scheme not only improves parameter estimation accuracy 423% ），system response speed +50% ），and collision avoidance success rate （+16% ），butalso reduces hardware costs（ -15% ）through sensor fusionandmulti-coreECUaplications，andfunctionalvaluefactorreachesmorethan1.4.Theresearchresultsprovideffective solutions for performance improvement and cost optimization of automotive active safety technology.

Keywords：electronicstabilitycontrolsystem （ESC）；automaticemergencybrakingsystem（AEB）；dualadaptiveunscented Kalman filter （DAUKF）; neural network; value engineering

随着全球汽车保有量的持续增长，道路交通安全问题日益突出。（剩余5252字）