NDLI: Soft-computing techniques for cruise controller tuning for an off-road electric vehicle

Content Provider	IET Digital Library
Author	Blondin, Maude Josée Trovão, João Pedro
Abstract	Speed controllers may be employed to provide safer along with more secure vehicles. They may also be used to minimise environmental pollution, e.g. speed controllers can be employed to track speed optimal velocity profile based on energy consumption minimisation. Consequently, accurate speed tracking is important. However, despite soft-computing techniques have been proved successful in controller tuning, there is a limited amount of research on these techniques applied to speed controller optimisation. Therefore, this study performs a comparison study on PI cruise controller tuning for an off-road electric vehicle. A cost function is designed to reach an accurate EV speed tracking while considering safety aspects, such as no reverse speed. The ACO-NM algorithm has been demonstrated to be the most efficient compared to GA, ALO, DE, and PSO. Indeed, ACO-NM reached high-quality solutions for lower computational cost for three driving cycles. Moreover, contrary to the majority of published work on the subject, experimental validations have been carried out with the optimised PI cruise controllers. The experimental results have validated the ACO-NM efficiency with a maximum overshoot average <10% for the hardest acceleration of the real driving cycle.
Starting Page	196
Ending Page	205
Page Count	10
ISSN	20429738
Volume Number	9
e-ISSN	20429746
Issue Number	Issue 4, Dec (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-est/9/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-est.2019.0008
Journal	IET Electrical Systems in Transportation
Publisher Date	2019-06-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Acceleration ACO-NM Algorithm Ant Colony Optimisation Automotive Transportation (energy Utilisation) Control of Other Land Traffic System Control System Analysis Control System Synthesis Controller Optimisation Electric Vehicle Energy Consumption Energy Consumption Minimisation EV Speed Tracking Off-road Electric Vehicle Off-road Vehicle Optimal Control Optimisation Technique PI Control PI Cruise Controller PI Cruise Controller Tuning Reverse Speed Rotation Control Secure Vehicle Soft-computing Speed Controller Speed Optimal Velocity Profile Synthesis Method Transportation Velocity Velocity Control
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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