The invention discloses a vehicle electronic mechanical braking control method and system, and relates to the technical field of electronic mechanical braking. According to the method, when a target vehicle is braked in the actual driving process, a trained generalized regression neural network is used for outputting the current vertical load of each wheel of the target vehicle, and an electronic braking force distribution system distributes braking force for each wheel according to the current vertical load of each wheel. A plurality of anti-lock levels are divided through the self-organizing mapping neural network, the optimal braking force factor under each anti-lock level is determined through the grey wolf algorithm, and a corresponding relation database of the anti-lock levels and the optimal braking force factors is formed. And when the anti-lock braking system of the target vehicle intervenes, the self-organizing mapping neural network identifies the anti-lock level on line, so that the optimal braking force factor under the anti-lock level is determined, and the anti-lock braking system outputs braking force to the wheel end according to the optimal braking force factor under the anti-lock level. The stability of the vehicle during braking is improved.
本发明公开一种车辆电子机械制动控制方法及系统,涉及电子机械制动技术领域。该方法当目标车辆在实际行驶过程中采取制动时,使用训练后的广义回归神经网络输出目标车辆各车轮当前的垂向载荷,电子制动力分配系统依据各车轮当前的垂向载荷为每个车轮分配制动力。并通过自组织映射神经网络划分多种防抱死等级,采用灰狼算法确定每种防抱死等级下的最佳制动力因子,形成防抱死等级与最佳制动力因子的对应关系数据库。当目标车辆的防抱死制动系统介入时,自组织映射神经网络在线识别防抱死等级,从而确定所属防抱死等级下的最佳制动力因子,防抱死制动系统按照所属防抱死等级下的最佳制动力因子向车轮端输出制动力。本发明提高了车辆制动时的稳定性。
Vehicle electronic mechanical braking control method and system
一种车辆电子机械制动控制方法及系统
2024-10-01
Patent
Electronic Resource
Chinese
IPC: | B60T Bremsanlagen für Fahrzeuge oder Teile davon , VEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF |
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