Fuzzy logic based power management strategy using topographic data for an electric vehicle with a battery-ultracapacitor energy storage. Issue 1 (5th January 2015)
- Record Type:
- Journal Article
- Title:
- Fuzzy logic based power management strategy using topographic data for an electric vehicle with a battery-ultracapacitor energy storage. Issue 1 (5th January 2015)
- Main Title:
- Fuzzy logic based power management strategy using topographic data for an electric vehicle with a battery-ultracapacitor energy storage
- Authors:
- Ahmed Masmoudi, Dr
Michalczuk, Marek
Ufnalski, Bartlomiej
Grzesiak, Lech M. - Abstract:
- <abstract> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <sec> <title content-type="abstract-heading">Purpose</title> <p> – The purpose of this paper is to provide high-efficiency and high-power hybrid energy source for an urban electric vehicle. A power management strategy based on fuzzy logic has been introduced for battery-ultracapacitor (UC) energy storage. </p> </sec> <sec> <title content-type="abstract-heading">Design/methodology/approach</title> <p> – The paper describes the design and construction of on-board hybrid source. The proposed energy storage system consists of battery, UCs and two DC/DC interleaved converters interfacing both storages. A fuzzy-logic controller (FLC) for the hybrid energy source is developed and discussed. Control structure has been tested using a non-mobile experimental setup. </p> </sec> <sec> <title content-type="abstract-heading">Findings</title> <p> – The hybrid energy storage ensures high-power ability. Flexibility and robustness offered by the FLC give an easy accessible method to provide a power management algorithm extended with additional input information from road infrastructure or other vehicles. In the presented research, it was examined that using information related to the topography of the road in the control structure helps to improve hybrid storage performance. </p> </sec> <sec> <title content-type="abstract-heading">Research limitations/implications</title> <p> – The proposed control<abstract> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <sec> <title content-type="abstract-heading">Purpose</title> <p> – The purpose of this paper is to provide high-efficiency and high-power hybrid energy source for an urban electric vehicle. A power management strategy based on fuzzy logic has been introduced for battery-ultracapacitor (UC) energy storage. </p> </sec> <sec> <title content-type="abstract-heading">Design/methodology/approach</title> <p> – The paper describes the design and construction of on-board hybrid source. The proposed energy storage system consists of battery, UCs and two DC/DC interleaved converters interfacing both storages. A fuzzy-logic controller (FLC) for the hybrid energy source is developed and discussed. Control structure has been tested using a non-mobile experimental setup. </p> </sec> <sec> <title content-type="abstract-heading">Findings</title> <p> – The hybrid energy storage ensures high-power ability. Flexibility and robustness offered by the FLC give an easy accessible method to provide a power management algorithm extended with additional input information from road infrastructure or other vehicles. In the presented research, it was examined that using information related to the topography of the road in the control structure helps to improve hybrid storage performance. </p> </sec> <sec> <title content-type="abstract-heading">Research limitations/implications</title> <p> – The proposed control algorithm is about to be validated also in an experimental car. </p> </sec> <sec> <title content-type="abstract-heading">Originality/value</title> <p> – Exploratory studies have been provided to investigate the benefits of energy storage hybridization for electric vehicle. Simulation and experimental results confirm that the combination of lithium batteries and UCs improves performance and reliability of the energy source. To reduce power impulses drawn from the battery, power management algorithm takes into consideration information on slope of a terrain.</p> </sec> </abstract> … (more)
- Is Part Of:
- Compel. Volume 34:Issue 1(2015)
- Journal:
- Compel
- Issue:
- Volume 34:Issue 1(2015)
- Issue Display:
- Volume 34, Issue 1 (2015)
- Year:
- 2015
- Volume:
- 34
- Issue:
- 1
- Issue Sort Value:
- 2015-0034-0001-0000
- Page Start:
- 173
- Page End:
- 188
- Publication Date:
- 2015-01-05
- Subjects:
- Electrical engineering -- Data Processing -- Periodicals
Electrical engineering -- Mathematics -- Periodicals
Electrical engineering -- Periodicals
Electronics -- Data Processing -- Periodicals
Electronics -- Mathematics -- Periodicals
621.3 - Journal URLs:
- http://www.emeraldinsight.com/0332-1649.htm ↗
http://www.emeraldinsight.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1108/COMPEL-11-2013-0388 ↗
- Languages:
- English
- ISSNs:
- 0332-1649
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3363.924000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 3602.xml