A Novel Electrohydraulic Brake System With Tire–Road Friction Estimation and Continuous Brake Pressure Control

Castillo, Juan José; Carrillo, Juan Antonio Cabrera; Guerra, Antonio J.; Simón, A.

doi:10.1109/tie.2015.2494041

Cited by 67 publications

(44 citation statements)

References 38 publications

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“…The mix in using different control strategies, for instance, a sliding mode control (SMC), fuzzy control, optimal control, and adaptive non-linear control are found in ABS researches 12. A PID controller can be used with this non-linear system to decrease the stopping distance and the longitudinal slip [33]. Fuzzy PID controllers are fitted in many cars to manage multiple systems 19.…”

Section: Fig 1 Abs Layout [10]mentioning

confidence: 99%

Anti-Lock Braking System Components Modelling

Alaboodi*¹,

Algadah²

2019

IJITEE

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Anti-lock braking systems are widely used in modern vehicles and provide safe driving for many different road conditions. Tire skidding occurs unexpectedly as a result of non-linearity in the system. The system behavior can be modelled and simulated using simulation software, which would help to visualize the system behavior. It would lead to obtaining optimum brake performance as well as safe driving. Modelling and simulation methods that can be used with every component of the system are presented. A variety of simulation software has been discussed.

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Section: Fig 1 Abs Layout [10]mentioning

confidence: 99%

Anti-Lock Braking System Components Modelling

Alaboodi*¹,

Algadah²

2019

IJITEE

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“…Then by combining equations (7), (8), and (9), the overall axial hydraulic force can be obtained as:…”

Section: Avalve Dynamics Modellingmentioning

confidence: 99%

High-Precision Hydraulic Pressure Control Based on Linear Pressure-Drop Modulation in Valve Critical Equilibrium State

Wang

Cao

2017

IEEE Trans. Ind. Electron.

121

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High precision and fast response are of great significance for hydraulic pressure control in automotive braking systems. In this paper, a novel sliding mode control based high-precision hydraulic pressure feedback modulation is proposed. Dynamical models of the hydraulic brake system including valve dynamics are established. An open loop load pressure control based on the linear relationship between the pressure-drop and coil current in valve critical open equilibrium state is proposed, and also experimentally validated on a hardware-in-the-loop test rig. The control characteristics under different input pressures and varied coil currents are investigated. Moreover, the sensitivity of the proposed modulation on valve's key structure parameters and environmental temperatures are explored with some unexpected drawbacks. In order to achieve better robustness and precision, a sliding mode control based closed loop scheme is developed for the linear pressure-drop modulation. Comparative tests between this method and the existing methods are carried out. The results validate the effectiveness and superior performance of the proposed closed loop modulation method.Index Terms-Sliding mode control, linear pressuredrop modulation, switching valve, hardware-in-the-loop test, experimental validation.

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“…Finally, as shown in Figure 8, once the road type has been obtained by the RCI index, the optimum slip is calculated. In this work, the optimum slip has been estimated by means of a trained neural network using the Burkhardt model [20]. The network has the RCI index, obtained from the fuzzy block, and the wheel slip angle as inputs.…”

Section: Estimation Of Road Type and Vehicle Parametersmentioning

confidence: 99%

Regenerative Intelligent Brake Control for Electric Motorcycles

et al. 2017

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Vehicle models whose propulsion system is based on electric motors are increasing in number within the automobile industry. They will soon become a reliable alternative to vehicles with conventional propulsion systems. The main advantages of this type of vehicles are the non-emission of polluting gases and noise and the effectiveness of electric motors compared to combustion engines. Some of the disadvantages that electric vehicle manufacturers still have to solve are their low autonomy due to inefficient energy storage systems, vehicle cost, which is still too high, and reducing the recharging time. Current regenerative systems in motorcycles are designed with a low fixed maximum regeneration rate in order not to cause the rear wheel to slip when braking with the regenerative brake no matter what the road condition is. These types of systems do not make use of all the available regeneration power, since more importance is placed on safety when braking. An optimized regenerative braking strategy for two-wheeled vehicles is described is this work. This system is designed to recover the maximum energy in braking processes while maintaining the vehicle's stability. In order to develop the previously described regenerative control, tyre forces, vehicle speed and road adhesion are obtained by means of an estimation algorithm. A based-on-fuzzy-logic algorithm is programmed to carry out an optimized control with this information. This system recuperates maximum braking power without compromising the rear wheel slip and safety. Simulations show that the system optimizes energy regeneration on every surface compared to a constant regeneration strategy.

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A Novel Electrohydraulic Brake System With Tire–Road Friction Estimation and Continuous Brake Pressure Control

Cited by 67 publications

References 38 publications

Anti-Lock Braking System Components Modelling

Anti-Lock Braking System Components Modelling

High-Precision Hydraulic Pressure Control Based on Linear Pressure-Drop Modulation in Valve Critical Equilibrium State

Regenerative Intelligent Brake Control for Electric Motorcycles

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