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Journal ArticleDOI

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

TLDR
A new brake system architecture based on the use of proportional servovalves allows for faster and more precise control of the pressure, preventing the wheels from locking and reducing braking distances and a new control block has been developed to determine the optimum pressure in the braking circuit.
Abstract
The braking system is the main active safety equipment of vehicles. This paper presents a new brake system architecture based on the use of proportional servovalves. The use of servovalves allows for faster and more precise control of the pressure, preventing the wheels from locking and reducing braking distances. A new control block has been developed to determine the optimum pressure in the braking circuit. The new controller is based on the use of fuzzy logic techniques. A Kalman-filter-based estimation algorithm allows for obtaining the adhesion between the wheel and road surface and vehicle speed. These parameters are used in a fuzzy block to detect the road type. Using the road type, an artificial neural network gives an estimation of the slip that produces higher adhesion, and a final block, which is also based on fuzzy logic, determines the optimal pressure in the braking circuit. The performance of the new brake architecture and controller is evaluated by simulating driving on different road surfaces and with real tests on dry and wet asphalt.

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Citations
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Journal ArticleDOI

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

TL;DR: A novel sliding mode control based high-precision hydraulic pressure feedback modulation based on 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 experimentally validated.
Journal ArticleDOI

Design of Regenerative Anti-Lock Braking System Controller for 4 In-Wheel-Motor Drive Electric Vehicle with Road Surface Estimation

TL;DR: A regenerative anti-lock braking system control method with road detection capability to improve electric vehicle safety and energy economy during braking maneuvers and regenerate for a given motor the maximum possible amount of energy during vehicle deceleration is presented.
Journal ArticleDOI

Robust Continuous Wheel Slip Control With Reference Adaptation: Application to the Brake System With Decoupled Architecture

TL;DR: An adaptive continuous wheel slip control developed for the sport utility vehicle equipped with a high-dynamic decoupled electrohydraulic brake system with focus on three continuous WSC strategies based on proportional integral (PI), sliding-mode PI and integral-sliding-mode control techniques is introduced.
Journal ArticleDOI

Parametric optimization of novel electric–hydraulic hybrid steering system based on a shuffled particle swarm optimization algorithm

TL;DR: The simulation results demonstrate that compared with the EHPS system, the E–HHPS system has a better steering economy at low vehicular speeds and can considerably reduce the steering energy consumption and noticeably improve the handling performance of the vehicle.
Journal ArticleDOI

Deep Sparse Autoencoder for Feature Extraction and Diagnosis of Locomotive Adhesion Status

TL;DR: A data-driven adhesion status fault diagnosis method based on deep learning theory that can achieve a 99.3% locomotive adhesion state diagnosis accuracy and satisfy actual engineering monitoring requirements is presented.
References
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Journal ArticleDOI

Industrial Applications of the Kalman Filter: A Review

TL;DR: The Kalman filter has received a huge interest from the industrial electronics community and has played a key role in many engineering fields since the 1970s, ranging from trajectory estimation, state and parameter estimation for control or diagnosis, data merging, signal processing, and so on.
Journal ArticleDOI

Dual extended Kalman filter for vehicle state and parameter estimation

TL;DR: In this paper, the dual extended Kalman filter (DEKF) technique is used for combined estimation of vehicle states and parameters, which can be used to switch off the parameter estimator, once a sufficiently good set of estimates has been obtained.
Journal ArticleDOI

Nonlinear state and tire force estimation for advanced vehicle control

TL;DR: Simulation of a simple slip control braking system using slip and slip angle estimates for feedback demonstrates the effectiveness of the extended Kalman filter in providing adequate state estimates for advanced control of ground vehicles.
Journal ArticleDOI

Algorithms for Real-Time Estimation of Individual Wheel Tire-Road Friction Coefficients

TL;DR: In this article, three different observers are developed for the estimation of slip ratios and longitudinal tire forces, based on the types of sensors available, including engine torque, brake torque, and GPS measurements.
Journal ArticleDOI

Real-time slip-based estimation of maximum tire-road friction coefficient

TL;DR: In this paper, a real-time maximum tire-road friction coefficient estimation method and field test results are presented based on the relationship between the wheel slip ratio and the friction coefficient.
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