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Journal ArticleDOI

Integrated stability and traction control for electric vehicles using model predictive control

TLDR
In this article, an integrated vehicle and wheel stability control is developed and experimentally evaluated, which can be applied to a wide variety of vehicle driveline and actuation configurations such as: four, front and rear wheel drive systems.
About
This article is published in Control Engineering Practice.The article was published on 2016-09-01. It has received 74 citations till now. The article focuses on the topics: Electronic stability control & Control theory.

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Citations
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Journal ArticleDOI

A Motion Planning and Tracking Framework for Autonomous Vehicles Based on Artificial Potential Field Elaborated Resistance Network Approach

TL;DR: The APF method is used to assign different potential functions to different obstacles and road boundaries; while the drivable area is meshed and assigned resistance values in each edge based on the potential functions.
Journal ArticleDOI

A comprehensive review on hybrid electric vehicles: architectures and components

TL;DR: An extensive review on essential components used in HEVs such as their architectures with advantages and disadvantages, choice of bidirectional converter to obtain high efficiency, combining ultracapacitor with battery to extend the battery life, traction motors’ role and their suitability for a particular application are presented.
Journal ArticleDOI

Coordinated path-following and direct yaw-moment control of autonomous electric vehicles with sideslip angle estimation

TL;DR: A novel coordinated path following system (PFS) and direct yaw-moment control (DYC) of autonomous electric vehicles via hierarchical control technique is presented, and a pseudo inverse (PI) low-level control allocation law is designed to realize the tracking of desired external moment torque and management of the redundant tire actuators.
Journal ArticleDOI

Model Predictive Control for integrated lateral stability, traction/braking control, and rollover prevention of electric vehicles

TL;DR: In this article, an integrated multi-objective controller for electric vehicles (EVs) is presented to achieve four main control objectives concurrently, i.e., slip control in traction and braking, lateral braking, and lateral acceleration.
Journal ArticleDOI

Model predictive control of vehicle stability using coordinated active steering and differential brakes

TL;DR: In this paper, a bicycle model of the vehicle and the moment of the differential brakes is considered as an external torque is used to predict the lateral stability of vehicles using coordinated active front steering and differential brakes.
References
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Book

Fundamentals of Vehicle Dynamics

TL;DR: In this article, the authors attempt to find a middle ground by balancing engineering principles and equations of use to every automotive engineer with practical explanations of the mechanics involved, so that those without a formal engineering degree can still comprehend and use most of the principles discussed.
Book

Set-theoretic methods in control

TL;DR: This self-contained monograph describes basic set-theoretic methods for control and provides a discussion of their links to fundamental problems in Lyapunov stability analysis and stabilization, optimal control, control under constraints, persistent disturbance rejection, and uncertain systems analysis and synthesis.
Journal ArticleDOI

MPC-Based Approach to Active Steering for Autonomous Vehicle Systems

TL;DR: In this paper, a model predictive control (MPC) scheme is designed in order to stabilize a vehicle along a desired path while fulfilling its physical constraints, and the trade off between the vehicle speed and the required preview on the desired path is highlighted.
Journal ArticleDOI

MPC-based yaw and lateral stabilisation via active front steering and braking

TL;DR: In this paper, a path following Model Predictive Control-based (MPC) scheme utilizing steering and braking is proposed to track a desired path for obstacle avoidance maneuver, by a combined use of braking and steering.
Journal ArticleDOI

An MPC/hybrid system approach to traction control

TL;DR: Experiments show that good and robust performance is achieved in a limited development time by avoiding the design of ad hoc supervisory and logical constructs usually required by controllers developed according to standard techniques.
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