A Simulated Annealing Approach for Optimal Power Source Management in a Small EV
This paper presents a novel energy management strategy for a hybridized power source small urban electric vehicle (EV). First, an analysis of load requirements for typical urban driving cycles is presented. Thereafter, the energy and power management issues are addressed for a multisource EV to defi...
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| Veröffentlicht in: | IEEE transactions on sustainable energy 2013-10, Vol.4 (4), p.867-876 |
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| container_title | IEEE transactions on sustainable energy |
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| creator | Trovao, Joao Pedro F. Santos, Victor D. N. Pereirinha, Paulo G. Jorge, Humberto M. Antunes, Carlos H. |
| description | This paper presents a novel energy management strategy for a hybridized power source small urban electric vehicle (EV). First, an analysis of load requirements for typical urban driving cycles is presented. Thereafter, the energy and power management issues are addressed for a multisource EV to define an improved management architecture. A dynamically restricted search space strategy coupled with a simulated annealing technique is exploited to accomplish the global optimization of the energy management system (EMS). The control of the dc/dc converter operations based on this EMS is also presented. The multiple sources have been simulated using an overall model implemented in Matlab/Simulink. A reduced-scale prototype has been built to analyze the performance of the energy management strategy. The results obtained show that energy management has been enhanced leading to an increase of the vehicle performance with reduced size embarked sources. |
| doi_str_mv | 10.1109/TSTE.2013.2253139 |
| format | Article |
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The multiple sources have been simulated using an overall model implemented in Matlab/Simulink. A reduced-scale prototype has been built to analyze the performance of the energy management strategy. The results obtained show that energy management has been enhanced leading to an increase of the vehicle performance with reduced size embarked sources.</description><subject>Dynamically restricted search space</subject><subject>electric vehicle (EV)</subject><subject>Electric vehicles</subject><subject>Energy management</subject><subject>energy management system (EMS)</subject><subject>Hybrid power systems</subject><subject>Optimization</subject><subject>power sources hybridization</subject><subject>Simulated annealing</subject><issn>1949-3029</issn><issn>1949-3037</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kFFrwjAQx8PYYOL8AGMvgT3XJbmmSR6LuDlwKNTtNcR6ukpNu7Qy9u0XUbyXO47f3f3vT8gjZ2POmXlZFavpWDAOYyEkcDA3ZMBNahJgoG6vtTD3ZNR1exYDADJgA7LMaVEdjrXrcUNz79HVld_RvG1D48pvum0CXbR9dXA1XTa_GGjRHEOJ9MN5t8MD-p5WnjpaRKKm068Hcrd1dYejSx6Sz9fpajJL5ou390k-T0phoE-4lEaDFlyXOhWZy8CVyqHcpAKcEjLjxgFTKPlabrLYwbVUGk26jqx2Bobk-bw3Cv05YtfbfRTm40nLlTSp5kqISPEzVYam6wJubRviL-HPcmZP3tmTd_bknb14F2eezjMVIl75TDIRlcM_KM9n4g</recordid><startdate>20131001</startdate><enddate>20131001</enddate><creator>Trovao, Joao Pedro F.</creator><creator>Santos, Victor D. 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N.</creatorcontrib><creatorcontrib>Pereirinha, Paulo G.</creatorcontrib><creatorcontrib>Jorge, Humberto M.</creatorcontrib><creatorcontrib>Antunes, Carlos H.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>IEEE transactions on sustainable energy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Trovao, Joao Pedro F.</au><au>Santos, Victor D. N.</au><au>Pereirinha, Paulo G.</au><au>Jorge, Humberto M.</au><au>Antunes, Carlos H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Simulated Annealing Approach for Optimal Power Source Management in a Small EV</atitle><jtitle>IEEE transactions on sustainable energy</jtitle><stitle>TSTE</stitle><date>2013-10-01</date><risdate>2013</risdate><volume>4</volume><issue>4</issue><spage>867</spage><epage>876</epage><pages>867-876</pages><issn>1949-3029</issn><eissn>1949-3037</eissn><coden>ITSEAJ</coden><abstract>This paper presents a novel energy management strategy for a hybridized power source small urban electric vehicle (EV). First, an analysis of load requirements for typical urban driving cycles is presented. Thereafter, the energy and power management issues are addressed for a multisource EV to define an improved management architecture. 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| ispartof | IEEE transactions on sustainable energy, 2013-10, Vol.4 (4), p.867-876 |
| issn | 1949-3029 1949-3037 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Dynamically restricted search space electric vehicle (EV) Electric vehicles Energy management energy management system (EMS) Hybrid power systems Optimization power sources hybridization Simulated annealing |
| title | A Simulated Annealing Approach for Optimal Power Source Management in a Small EV |
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