Modelling and Estimation of Friction Brake Torque for a Brake by Wire System

被引:0
|
作者
Martinez, Clara Marina [1 ]
Velenis, Efstathios [1 ]
Tavernini, Davide [1 ]
Gao, Bo [2 ]
Wellers, Matthias [2 ]
机构
[1] Cranfield Univ, Ctr Automot Engn, Cranfield, Beds, England
[2] AVL Powertrain UK Ltd, Basildon, England
关键词
brake by wire; hydraulic model; longitudinal dynamics; LuGre model; Pacejka's model; brake disc temperature; brake torque; Kalman Filter;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Recent advances in the automotive industry have incorporated the latest technology in vehicle electrification, with the aim to reduce fuel consumption, pollutants emissions, as well as enhance vehicle performance and safety. As a result, Electric Vehicles (EV) and Hybrid Electric Vehicles (HEV) have become the imminent automotive future, establishing important challenges in vehicle systems integration and control. In these vehicles, the regenerative braking is currently the major technique of energy recovery, providing accurate control on the brake torque applied. However regenerative brakes still need the support of conventional friction brakes, mainly due to the battery limitations. Consequently, the coordination of both braking strategies becomes critical for the safe actuation of braking related systems such as: ABS and ESP. Unfortunately, the torque blending between friction and regenerative brakes is a complicated task due to the different systems inputs; the regenerative brakes receive torque inputs, whilst the friction brakes work with pressure inputs. This paper proposes the friction brake torque estimation to simplify the torque blending, and improve the energy recovery and driving safety. The brake torque is estimated not only considering the pressure developed at the calipers, but also the brake disc temperature, and the wheel speed effect on the friction coefficient. The torque is obtained without installing additional sensors in the vehicle platform, considering that only wheel speed sensors are available. The estimation is performed using the extended version of the Kalman Filter. The results obtained are very satisfactory, and can improve the performance of the named systems in a safe way.
引用
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页数:7
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