NDLI: Battery characterization and state-of-charge prediction for different journey conditions with the help of the "journey mapping" concept

Content Provider	IEEE Xplore Digital Library
Author	Divakarla, K.P. Nalakath, S. Drennan, M. Ahmed, R. Emadi, A. Razavi, S.
Copyright Year	2015
Description	Author affiliation: Civil Eng. Dept., McMaster Univ., Hamilton, ON, Canada (Razavi, S.) \|\| Mech. Eng. Dept., McMaster Univ., Hamilton, ON, Canada (Ahmed, R.) \|\| Electr. & Comput. Eng. Dept., McMaster Univ., Hamilton, ON, Canada (Divakarla, K.P.; Nalakath, S.; Emadi, A.) \|\| Mech. & Manuf. Eng. Dept., Univ. of Ontario Inst. of Technol., Oshawa, ON, Canada (Drennan, M.)
Abstract	Electric vehicle battery modeling and state-of-charge prediction has gained a lot of importance with the growing range anxiety among electric vehicle users. The future of battery implementation in electric vehicles might be in their customized design according to specific journey conditions. As such, this paper highlights the application of a novel concept - Journey Mapping for a Ford Focus Electric 2012's battery characterization and SOC prediction with the help of Genetic Algorithm and the Recursive Least Squares techniques respectively. The Journey Mapping concept, which re-defines driving cycles in order to better capture the journey of a vehicle by including various external conditions such as weather, terrain, traffic, driver behavior, road, aerodynamic and vehicle proved to be a a more accurate testing bed for electric vehicle battery modeling.
Sponsorship	IEEE
Starting Page	003683
Ending Page	003688
File Size	260021
Page Count	6
File Format	PDF
e-ISBN	9781479917624
DOI	10.1109/IECON.2015.7392674
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-09
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Batteries Vehicles Integrated circuit modeling Autoregressive processes Computational modeling Roads Data models simulation and state-of-charge (SOC) Automotive drive cycles data acquisition genetic algorithm optimization modeling
Content Type	Text
Resource Type	Article

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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
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