Future vision for reduction of range anxiety by using an improved state of charge estimation algorithm for electric vehicle batteries implemented with low‐cost microcontrollers-Reference-Cited by-同舟云学术

Future vision for reduction of range anxiety by using an improved state of charge estimation algorithm for electric vehicle batteries implemented with low‐cost microcontrollers

Published:2015-03 Issue:1 Volume:5 Page:24-32
ISSN:2042-9738
Container-title:IET Electrical Systems in Transportation
language:en
Short-container-title:IET Electrical Systems in Transportation

Author:

Tannahill Vincent R.¹,Sutanto Danny¹,Muttaqi Kashem M.¹,Masrur Md Abul²

Affiliation:

1. Australian Power Quality and Reliability CentreSchool of Electrical, Computer and Telecommunications EngineeringUniversity of WollongongNew South Wales2522NSWAustralia

2. College of Engineering, Advanced Electric Vehicle ProgramUniversity of Detroit MercyDetroitMichigan48221USA

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-est.2014.0013

Reference17 articles.

1. Australian Bureau of Statistics: ‘Australian social trends July 2013’ [Online]. Available athttp://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/4102.0Main+Features40July+2013 accessed 29 August 2013]

2. Australian Bureau of Statistics: ‘Survey of motor vehicle use Australia 12 months ended 30 June 2012’ [Online]. Available athttp://www.abs.gov.au/ausstats/abs@.nsf/mf/9208.0@.nsf/mf/9208.0 accessed 29 August 2013]

3. Methods for state-of-charge determination and their applications

4. United States Environmental Protection Agency: ‘Dynamometer drive schedules’ [Online]. Available athttp://www.epa.gov/nvfel/methods/uddscol.txt accessed 16 October 2013]

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