Robust brake linings friction coefficient estimation for enhancement of ehb control

Vincenzo Ricciardi, Manuel Acosta, K. Augsburg, S. Kanarachos, V. Ivanov
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引用次数: 7

Abstract

The latest braking system architectures for Hybrid (HEV) and Full Electric Vehicles (EV) feature the adoption of the X-by-wire solutions, namely electro-hydraulic (EHB) and electro-mechanical (EMB) braking systems, aimed at providing additional flexibility to the distinctive functions of brake blending and regeneration. Regenerative brakes still need to be supported by conventional friction brakes because of failures occurrence, fully-charged battery conditions, and unexpected variations of the tire-road friction coefficient. In order to achieve a smooth coordinated action between the regenerative and the conventional friction brakes, the brake linings coefficient of friction (BLCF) needs to be monitored. The main contribution of this work lies on the estimation of the BLCF using a tire-model-less approach. In particular, two different observer designs are proposed and compared. Whereas the proposed approach does not rely on any fixed tire modelization, the state estimation is robust against variations in the road friction characteristics and tire uncertainties caused by inflating pressure variations, wear, and aging. The functionality of the developed observers is tested in IPG CarMaker® by employing an experimentally validated EV, equipped with four onboard motors and an EHB system. Braking events are simulated at different deceleration levels on both dry and wet surfaces. Finally, the compensation function against variations in the BLCF is implemented in the EHB controller to achieve constant deceleration levels. Authors envisage that the precise knowledge of the BLCF will contribute to enhance the braking performance and to actively monitor the brake pad wear under different working conditions.
增强ehb控制的鲁棒制动衬片摩擦系数估计
混合动力汽车(HEV)和全电动汽车(EV)的最新制动系统架构采用了X-by-wire解决方案,即电液(EHB)和机电(EMB)制动系统,旨在为制动混合和再生的独特功能提供额外的灵活性。由于故障的发生、电池充满电的情况以及轮胎-路面摩擦系数的意外变化,再生制动仍然需要传统摩擦制动的支持。为了实现再生摩擦制动器与常规摩擦制动器之间的平稳协调作用,需要对制动衬片的摩擦系数进行监测。这项工作的主要贡献在于使用无轮胎模型的方法估计BLCF。特别地,提出并比较了两种不同的观测器设计。尽管所提出的方法不依赖于任何固定的轮胎建模,但状态估计对于道路摩擦特性的变化和充气压力变化、磨损和老化引起的轮胎不确定性具有鲁棒性。开发的观察员的功能在IPG汽车制造商®中进行了测试,采用实验验证的EV,配备了四个车载电机和EHB系统。在干地面和湿地面上模拟不同减速水平下的制动事件。最后,在EHB控制器中实现了针对BLCF变化的补偿函数,以实现恒定的减速水平。作者设想,精确的BLCF知识将有助于提高制动性能,并积极监测不同工况下刹车片的磨损情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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