Model-based investigation of electric vehicle battery aging by means of vehicle-to-grid scenario simulations
Main objective of this work is the model-based investigation of the impact of different load scenarios on the estimated useful life of a traction battery. An energy-based battery model is used for simulation of the available energy of the battery. Reduction of the energy storage capability of the ba...
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Veröffentlicht in: | Journal of power sources 2013-10, Vol.239, p.604-610 |
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description | Main objective of this work is the model-based investigation of the impact of different load scenarios on the estimated useful life of a traction battery. An energy-based battery model is used for simulation of the available energy of the battery. Reduction of the energy storage capability of the battery is considered by an aging model. The aging model consists of a calendar and a cycle aging model. All models are implemented for simulation of present and future lithium-ion technologies. Hence, the range of battery characteristics and the aging behavior can be varied. In 2020 electric vehicles presumably will have reached a significant number and feed-back of electrical power from the vehicle to the power grid can be expected as an implemented ancillary service. Hence the battery's load scenarios comprise different combinations of driving cycles, charging strategies, and peak-shaving. Therefore the impact of these scenarios on battery aging can be identified by means of the model-based investigation of the battery lifetime. The presented battery model considers aging effects and is a useful tool for the design of an electric vehicle, for the dimensioning of a battery system depending on climate and user behavior, as well as for cost calculations.
► Model-based investigation of the electric vehicle battery aging. ► Load scenarios depend on driving cycles, charging strategies, and peak-shaving. ► Battery life could be prolonged by time-controlled or demand-driven recharging. ► Simulated life of the modeled battery could endure a usual life of a passenger car. |
doi_str_mv | 10.1016/j.jpowsour.2013.02.041 |
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► Model-based investigation of the electric vehicle battery aging. ► Load scenarios depend on driving cycles, charging strategies, and peak-shaving. ► Battery life could be prolonged by time-controlled or demand-driven recharging. ► Simulated life of the modeled battery could endure a usual life of a passenger car.</description><identifier>ISSN: 0378-7753</identifier><identifier>EISSN: 1873-2755</identifier><identifier>DOI: 10.1016/j.jpowsour.2013.02.041</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Aging ; Ancillary services ; Battery model ; Calendars ; Computer simulation ; Electric batteries ; Electric power generation ; Electric vehicle ; Electric vehicles ; Lithium-ion ; Reduction ; Vehicle-to-grid</subject><ispartof>Journal of power sources, 2013-10, Vol.239, p.604-610</ispartof><rights>2013 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c419t-607d6ec085e9a23f7b5fa7446c32264b8ab480a24b829bb3f72359eed0cc709d3</citedby><cites>FETCH-LOGICAL-c419t-607d6ec085e9a23f7b5fa7446c32264b8ab480a24b829bb3f72359eed0cc709d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0378775313003066$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Guenther, Clemens</creatorcontrib><creatorcontrib>Schott, Benjamin</creatorcontrib><creatorcontrib>Hennings, Wilfried</creatorcontrib><creatorcontrib>Waldowski, Paul</creatorcontrib><creatorcontrib>Danzer, Michael A.</creatorcontrib><title>Model-based investigation of electric vehicle battery aging by means of vehicle-to-grid scenario simulations</title><title>Journal of power sources</title><description>Main objective of this work is the model-based investigation of the impact of different load scenarios on the estimated useful life of a traction battery. An energy-based battery model is used for simulation of the available energy of the battery. Reduction of the energy storage capability of the battery is considered by an aging model. The aging model consists of a calendar and a cycle aging model. All models are implemented for simulation of present and future lithium-ion technologies. Hence, the range of battery characteristics and the aging behavior can be varied. In 2020 electric vehicles presumably will have reached a significant number and feed-back of electrical power from the vehicle to the power grid can be expected as an implemented ancillary service. Hence the battery's load scenarios comprise different combinations of driving cycles, charging strategies, and peak-shaving. Therefore the impact of these scenarios on battery aging can be identified by means of the model-based investigation of the battery lifetime. The presented battery model considers aging effects and is a useful tool for the design of an electric vehicle, for the dimensioning of a battery system depending on climate and user behavior, as well as for cost calculations.
► Model-based investigation of the electric vehicle battery aging. ► Load scenarios depend on driving cycles, charging strategies, and peak-shaving. ► Battery life could be prolonged by time-controlled or demand-driven recharging. ► Simulated life of the modeled battery could endure a usual life of a passenger car.</description><subject>Aging</subject><subject>Ancillary services</subject><subject>Battery model</subject><subject>Calendars</subject><subject>Computer simulation</subject><subject>Electric batteries</subject><subject>Electric power generation</subject><subject>Electric vehicle</subject><subject>Electric vehicles</subject><subject>Lithium-ion</subject><subject>Reduction</subject><subject>Vehicle-to-grid</subject><issn>0378-7753</issn><issn>1873-2755</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqFkU1O5DAQhS0E0jTNXGHkJZuE8k9iZwdC_IwEYjOzthyn0riVxI2dbtS34SycbMw0rFlVLb73VK8eIb8YlAxYfbEu15vwmsI2lhyYKIGXINkRWTCtRMFVVR2TBQilC6Uq8YOcprQGAMYULMj4GDocitYm7Kifdphmv7KzDxMNPcUB3Ry9ozt89m5A2tp5xrinduWnFW33dEQ7pYy-v30ixRyKVfQdTQ4nG32gyY_b4b9lOiMnvR0S_vycS_L39ubP9X3x8HT3-_rqoXCSNXNRg-pqdKArbCwXvWqr3iopayc4r2WrbSs1WJ433rRtBrioGsQOnFPQdGJJzg--mxhetjmTGX2-ZxjshGGbDKuYkLzhGr5HpdSq0kKzjNYH1MWQUsTebKIfbdwbBuajCrM2X1WYjyoMcJOryMLLgxBz5p3HaJLzODnsfMwPNl3w31n8A5sBmJ4</recordid><startdate>20131001</startdate><enddate>20131001</enddate><creator>Guenther, Clemens</creator><creator>Schott, Benjamin</creator><creator>Hennings, Wilfried</creator><creator>Waldowski, Paul</creator><creator>Danzer, Michael A.</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>20131001</creationdate><title>Model-based investigation of electric vehicle battery aging by means of vehicle-to-grid scenario simulations</title><author>Guenther, Clemens ; Schott, Benjamin ; Hennings, Wilfried ; Waldowski, Paul ; Danzer, Michael A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c419t-607d6ec085e9a23f7b5fa7446c32264b8ab480a24b829bb3f72359eed0cc709d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Aging</topic><topic>Ancillary services</topic><topic>Battery model</topic><topic>Calendars</topic><topic>Computer simulation</topic><topic>Electric batteries</topic><topic>Electric power generation</topic><topic>Electric vehicle</topic><topic>Electric vehicles</topic><topic>Lithium-ion</topic><topic>Reduction</topic><topic>Vehicle-to-grid</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guenther, Clemens</creatorcontrib><creatorcontrib>Schott, Benjamin</creatorcontrib><creatorcontrib>Hennings, Wilfried</creatorcontrib><creatorcontrib>Waldowski, Paul</creatorcontrib><creatorcontrib>Danzer, Michael A.</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of power sources</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guenther, Clemens</au><au>Schott, Benjamin</au><au>Hennings, Wilfried</au><au>Waldowski, Paul</au><au>Danzer, Michael A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Model-based investigation of electric vehicle battery aging by means of vehicle-to-grid scenario simulations</atitle><jtitle>Journal of power sources</jtitle><date>2013-10-01</date><risdate>2013</risdate><volume>239</volume><spage>604</spage><epage>610</epage><pages>604-610</pages><issn>0378-7753</issn><eissn>1873-2755</eissn><abstract>Main objective of this work is the model-based investigation of the impact of different load scenarios on the estimated useful life of a traction battery. An energy-based battery model is used for simulation of the available energy of the battery. Reduction of the energy storage capability of the battery is considered by an aging model. The aging model consists of a calendar and a cycle aging model. All models are implemented for simulation of present and future lithium-ion technologies. Hence, the range of battery characteristics and the aging behavior can be varied. In 2020 electric vehicles presumably will have reached a significant number and feed-back of electrical power from the vehicle to the power grid can be expected as an implemented ancillary service. Hence the battery's load scenarios comprise different combinations of driving cycles, charging strategies, and peak-shaving. Therefore the impact of these scenarios on battery aging can be identified by means of the model-based investigation of the battery lifetime. The presented battery model considers aging effects and is a useful tool for the design of an electric vehicle, for the dimensioning of a battery system depending on climate and user behavior, as well as for cost calculations.
► Model-based investigation of the electric vehicle battery aging. ► Load scenarios depend on driving cycles, charging strategies, and peak-shaving. ► Battery life could be prolonged by time-controlled or demand-driven recharging. ► Simulated life of the modeled battery could endure a usual life of a passenger car.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.jpowsour.2013.02.041</doi><tpages>7</tpages></addata></record> |
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subjects | Aging Ancillary services Battery model Calendars Computer simulation Electric batteries Electric power generation Electric vehicle Electric vehicles Lithium-ion Reduction Vehicle-to-grid |
title | Model-based investigation of electric vehicle battery aging by means of vehicle-to-grid scenario simulations |
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