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Journal ArticleDOI

Longitudinal Collision Avoidance Control of Electric Vehicles Based on a New Safety Distance Model and Constrained-Regenerative-Braking-Strength-Continuity Braking Force Distribution Strategy

TLDR
A new control scheme for longitudinal collision avoidance (CA) systems to improve the safety of four-in-wheel-motor-driven electric vehicles (FIWMD-EVs) and the feasibility, effectiveness, and practicality of the proposed safety distance model and braking force distribution strategy are verified by computer simulation experiments.
Abstract
This paper presents a new control scheme for longitudinal collision avoidance (CA) systems to improve the safety of four-in-wheel-motor-driven electric vehicles (FIWMD-EVs). There are two major contributions in the design of longitudinal CA systems. The first contribution is a new safety distance model to make vehicle adapt to different driving roads with an adhesive coefficient between tire and road and to conform to drivers' characteristics with a driving intention parameter. The second contribution is a new braking force distribution strategy based on constrained regenerative braking strength continuity (CRBSC). By optimizing the braking force distribution curve of hydraulic proportional-adjustable valve, the safety-brake range could be linearized to simplify the calculation of braking force distribution on the premise of ensuring braking safety. Furthermore, it is the constraint conditions that could solve the coexistence problem of positive and negative braking forces based on regenerative braking strength continuity (RBSC) to conform to actual requirements. The feasibility, effectiveness, and practicality of the proposed safety distance model and braking force distribution strategy are, respectively, verified by computer simulation experiments. Rapid control prototyping (RCP) and hardware-in-the-loop (HIL) simulation experiments using dSPACE are carried out to demonstrate the effectiveness in the control scheme, simplicity in structure, and flexibility in implementation for the proposed longitudinal CA system.

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Citations
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Journal ArticleDOI

Longitudinal Collision Avoidance and Lateral Stability Adaptive Control System Based on MPC of Autonomous Vehicles

TL;DR: A lateral-stability-coordinated collision avoidance control system (LSCACS) based on the model predictive control (MPC) that is validated by hardware-in-the-loop (HIL) tests, and the results show L SCACS’s effectiveness and great performance of the collision avoidance and lateral stability.
Journal ArticleDOI

Model-Predictive-Control-Based Path Tracking Controller of Autonomous Vehicle Considering Parametric Uncertainties and Velocity-Varying

TL;DR: A vehicle automated steering controller based on a model predictive control (MPC) approach is proposed in this article, and it can ensure the control accuracy and strong robustness.
Journal ArticleDOI

Advanced Estimation Techniques for Vehicle System Dynamic State: A Survey

TL;DR: A comprehensive technical survey of the development and recent research advances in vehicle system dynamic state estimation is presented and the principal features of the most popular methodologies are summarized.
Journal ArticleDOI

Optimal control of intelligent vehicle longitudinal dynamics via hybrid model predictive control

TL;DR: The intelligent vehicle longitudinal dynamics is approximated as a two-mode discrete-time mixed logical dynamical (MLD) system and a hybrid model predictive controller, which allows to optimize the switching sequences of the operation modes and the torques acted on the wheels, is tuned based on online mixed-integer quadratic programming.
References
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TL;DR: In this paper, the authors present a mean value model of SI and Diesel engines, and design and analysis of passive and active automotive suspension components, as well as semi-active and active suspensions.
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Modern Electric, Hybrid Electric, and Fuel Cell Vehicles

TL;DR: In this paper, the authors present an introduction to automotive technology, with specic reference to battery electric, hybrid electric, and fuel cell electric vehicles, in which the profound knowledge, mathematical modeling, simulations, and control are clearly presented.
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Modern electric, hybrid electric, and fuel cell vehicles : fundamentals, theory, and design

TL;DR: This document discusses the design and control principles of the Hybrid Electric Drive Trains, and the designs of the Drive Train Engine/Generator Power Design and Energy Design of Energy Storage Appendices Index.
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Vehicle Dynamics: Theory and Application

Reza N. Jazar
TL;DR: In this paper, the authors describe the tire and rim dynamics of a quarter car, including the following: forward vehicle dynamics, tire dynamics, vehicle roll dynamics, and vehicle vibration.
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Vehicle Handling Dynamics: Theory and Application

Masato Abe, +1 more
TL;DR: In this article, the authors combine classical vehicle dynamics with electronic control to develop a thorough understanding of the key attribute to both a vehicle's driveability and its active safety, including tire mechanics, the steering system, vehicle roll, traction and braking.
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