ABS control of electric vehicle on various road conditions

Sha Lin; Qifei Du; Ka Wai Eric Cheng

doi:10.1109/ICCASE.2011.5997649

ABS control of electric vehicle on various road conditions

Sha Lin, Qifei Du, Ka Wai Eric Cheng

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

2 Citations (Scopus)

Abstract

This paper presents an antilock braking system simulation model of electric vehicle (EV) for improving it handling and stability. It's focus on the study of ABS control on various road conditions. The model controller is based on fuzzy logic control. It simulation on various typical road conditions and has ideal antilock performance during braking.

Original language	English
Title of host publication	2011 International Conference on Control, Automation and Systems Engineering, CASE 2011
DOIs	https://doi.org/10.1109/ICCASE.2011.5997649
Publication status	Published - 22 Sept 2011
Event	2011 International Conference on Control, Automation and Systems Engineering, CASE 2011 - Singapore, Singapore Duration: 30 Jul 2011 → 31 Jul 2011

Conference

Conference	2011 International Conference on Control, Automation and Systems Engineering, CASE 2011
Country/Territory	Singapore
City	Singapore
Period	30/07/11 → 31/07/11

Keywords

Antilock braking system (ABS)
Fuzzy control
Slip ratio

ASJC Scopus subject areas

Artificial Intelligence
Control and Systems Engineering

More information

10.1109/ICCASE.2011.5997649

Cite this

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title = "ABS control of electric vehicle on various road conditions",

abstract = "This paper presents an antilock braking system simulation model of electric vehicle (EV) for improving it handling and stability. It's focus on the study of ABS control on various road conditions. The model controller is based on fuzzy logic control. It simulation on various typical road conditions and has ideal antilock performance during braking.",

keywords = "Antilock braking system (ABS), Fuzzy control, Slip ratio",

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AU - Lin, Sha

AU - Du, Qifei

AU - Cheng, Ka Wai Eric

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N2 - This paper presents an antilock braking system simulation model of electric vehicle (EV) for improving it handling and stability. It's focus on the study of ABS control on various road conditions. The model controller is based on fuzzy logic control. It simulation on various typical road conditions and has ideal antilock performance during braking.

AB - This paper presents an antilock braking system simulation model of electric vehicle (EV) for improving it handling and stability. It's focus on the study of ABS control on various road conditions. The model controller is based on fuzzy logic control. It simulation on various typical road conditions and has ideal antilock performance during braking.

KW - Antilock braking system (ABS)

KW - Fuzzy control

KW - Slip ratio

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U2 - 10.1109/ICCASE.2011.5997649

DO - 10.1109/ICCASE.2011.5997649

M3 - Conference article published in proceeding or book

SN - 9781457708602

BT - 2011 International Conference on Control, Automation and Systems Engineering, CASE 2011

T2 - 2011 International Conference on Control, Automation and Systems Engineering, CASE 2011

Y2 - 30 July 2011 through 31 July 2011

ER -

ABS control of electric vehicle on various road conditions

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

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