NDLI: Real time energy management algorithm for hybrid electric vehicle

Content Provider	IEEE Xplore Digital Library
Author	Cela, A. Hrazdira, A. Reama, A. Hamouche, R. Niculescu, S.I. Mounier, H. Natowicz, R. Kocik, R.
Copyright Year	2011
Description	Author affiliation: Laboratoire des Signaux et Systemes, CNRS/Supelec, 91192, Gif-Sur-Yvettes Cedex, France (Niculescu, S.I.; Mounier, H.) \|\| UPE, ESIEE Paris, 93162, Noisy-Le-Grand Cedex, France (Cela, A.; Reama, A.; Hamouche, R.; Natowicz, R.; Kocik, R.) \|\| Brno University of Technology, Czech Republic (Hrazdira, A.)
Abstract	The rapid development of mobile Internet and smart devices and advent of new generation of Intelligent Transportation Systems (ITS) increase information about future driving conditions and makes on-board energy management of Hybrid Electrical Vehicle (HEV) realistic. In this paper we propose a real time energy management algorithm $R^{T}EMA$ for a HEV composed of batteries and Super-Capacitors (SC). We suppose that the On-board Dedicated Computer (ODC) has a permanent Internet connection and has the possibility to perform Google-Maps application queries to calculate 3D route to destination. Based on 3D route to destination and average speeds for each road segment the state of charge (SOC) for battery and SC at the end of each receding horizon are predicted. A cost function considering the efficiency of battery, SC, DC/DC converter and electric motor as well as the battery life cycles increase is presented and an optimization problem is formulated and resolved. As ODC for real-time communication and computation we use Samsung Galaxy Pad which is an Android smart device. Performance results in terms of energy optimization, increased battery life and computing time are given which show the practical usefulness of this approach and application. Such a system can be made available to potential users of HEV as well as to the Android community driver members who share information on the state of traffic flow via their Android mobile phones [30].
Starting Page	335
Ending Page	340
File Size	972019
Page Count	6
File Format	PDF
ISBN	9781457721984
ISSN	21530009
e-ISBN	9781457721977
DOI	10.1109/ITSC.2011.6082979
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Batteries System-on-a-chip Hybrid electric vehicles Real time systems Optimization Prediction algorithms
Content Type	Text
Resource Type	Article

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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