A methodology to evaluate the competitiveness of electric delivery trucks
► Model based on universal physics, costs and logistics relationships. ► Integrates routing constraints, speed profiles, energy consumption and vehicle costs. ► Key variables include EV, fuel, and battery costs as well as vehicle utilization. ► EVs are more competitive in routes with low speeds and...
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| Veröffentlicht in: | Transportation research. Part E, Logistics and transportation review Logistics and transportation review, 2013-01, Vol.49 (1), p.8-23 |
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| container_title | Transportation research. Part E, Logistics and transportation review |
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| creator | Davis, Brian A. Figliozzi, Miguel A. |
| description | ► Model based on universal physics, costs and logistics relationships. ► Integrates routing constraints, speed profiles, energy consumption and vehicle costs. ► Key variables include EV, fuel, and battery costs as well as vehicle utilization. ► EVs are more competitive in routes with low speeds and full range utilization. ► Diesel vehicle cost and payload elasticity are roughly ½ the EV cost elasticity.
This paper examines the competitiveness of the latest generation of electric delivery trucks. A new model that integrates routing constraints, speed profiles, energy consumption, and vehicle ownership costs is developed. The model is applied to the study the competitiveness of three commercial vehicles: a widely available conventional diesel truck and two brands of electric trucks. Scenarios and breakeven points are calculated and analyzed for a large number parameter combination. The results show that route feasibility, minimum fleet size, distance traveled, battery life, purchase costs, and planning horizon are among the most significant factors affecting commercial electric vehicle competitiveness. |
| doi_str_mv | 10.1016/j.tre.2012.07.003 |
| format | Article |
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This paper examines the competitiveness of the latest generation of electric delivery trucks. A new model that integrates routing constraints, speed profiles, energy consumption, and vehicle ownership costs is developed. The model is applied to the study the competitiveness of three commercial vehicles: a widely available conventional diesel truck and two brands of electric trucks. Scenarios and breakeven points are calculated and analyzed for a large number parameter combination. The results show that route feasibility, minimum fleet size, distance traveled, battery life, purchase costs, and planning horizon are among the most significant factors affecting commercial electric vehicle competitiveness.</description><identifier>ISSN: 1366-5545</identifier><identifier>EISSN: 1878-5794</identifier><identifier>DOI: 10.1016/j.tre.2012.07.003</identifier><identifier>CODEN: TRERFW</identifier><language>eng</language><publisher>Exeter: Elsevier India Pvt Ltd</publisher><subject>Automotive components ; Battery ; Commercial electric vehicles ; Competition ; Costs ; Diesel fuels ; Electric vehicles ; Logistical constraints ; Logistics ; Mathematical models ; Real-world speed profiles ; Routing ; Studies ; Transportation ; Transportation problem (Operations research) ; Trucks ; Urban deliveries</subject><ispartof>Transportation research. Part E, Logistics and transportation review, 2013-01, Vol.49 (1), p.8-23</ispartof><rights>2012 Elsevier Ltd</rights><rights>Copyright Elsevier Sequoia S.A. Jan 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c516t-45431c64bacc479d46890d96a0bb3bcdab947e6527a532ccca67d9a85adc995a3</citedby><cites>FETCH-LOGICAL-c516t-45431c64bacc479d46890d96a0bb3bcdab947e6527a532ccca67d9a85adc995a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.tre.2012.07.003$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3549,27923,27924,45994</link.rule.ids></links><search><creatorcontrib>Davis, Brian A.</creatorcontrib><creatorcontrib>Figliozzi, Miguel A.</creatorcontrib><title>A methodology to evaluate the competitiveness of electric delivery trucks</title><title>Transportation research. Part E, Logistics and transportation review</title><description>► Model based on universal physics, costs and logistics relationships. ► Integrates routing constraints, speed profiles, energy consumption and vehicle costs. ► Key variables include EV, fuel, and battery costs as well as vehicle utilization. ► EVs are more competitive in routes with low speeds and full range utilization. ► Diesel vehicle cost and payload elasticity are roughly ½ the EV cost elasticity.
This paper examines the competitiveness of the latest generation of electric delivery trucks. A new model that integrates routing constraints, speed profiles, energy consumption, and vehicle ownership costs is developed. The model is applied to the study the competitiveness of three commercial vehicles: a widely available conventional diesel truck and two brands of electric trucks. Scenarios and breakeven points are calculated and analyzed for a large number parameter combination. The results show that route feasibility, minimum fleet size, distance traveled, battery life, purchase costs, and planning horizon are among the most significant factors affecting commercial electric vehicle competitiveness.</description><subject>Automotive components</subject><subject>Battery</subject><subject>Commercial electric vehicles</subject><subject>Competition</subject><subject>Costs</subject><subject>Diesel fuels</subject><subject>Electric vehicles</subject><subject>Logistical constraints</subject><subject>Logistics</subject><subject>Mathematical models</subject><subject>Real-world speed profiles</subject><subject>Routing</subject><subject>Studies</subject><subject>Transportation</subject><subject>Transportation problem (Operations research)</subject><subject>Trucks</subject><subject>Urban deliveries</subject><issn>1366-5545</issn><issn>1878-5794</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LAzEQhhdRsFZ_gLcFL152TXbzscFTET8KBS96DtnJ1KZum5pkC_57U-rJg6cZhvcZZp6iuKakpoSKu3WdAtYNoU1NZE1Ie1JMaCe7ikvFTnPfClFxzvh5cRHjmpAM8WZSzGflBtPKWz_4j-8y-RL3ZhhNwjKtsAS_2WFyye1xizGWflnigJCCg9LikMchQ2GEz3hZnC3NEPHqt06L96fHt4eXavH6PH-YLSrgVKSKcdZSEKw3AEwqy0SniFXCkL5ve7CmV0xivk0a3jYAYIS0ynTcWFCKm3Za3B737oL_GjEmvXERcBjMFv0YNRWSMiUYEzl68ye69mPY5us0bUTHiaAtyyl6TEHwMQZc6l1wGxO-NSX6IFevdZarD3I1kTrLzcz9kcH86d5h0BEcbgGtC1mPtt79Q_8AjEyCWg</recordid><startdate>201301</startdate><enddate>201301</enddate><creator>Davis, Brian A.</creator><creator>Figliozzi, Miguel A.</creator><general>Elsevier India Pvt Ltd</general><general>Elsevier Sequoia S.A</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>201301</creationdate><title>A methodology to evaluate the competitiveness of electric delivery trucks</title><author>Davis, Brian A. ; Figliozzi, Miguel A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c516t-45431c64bacc479d46890d96a0bb3bcdab947e6527a532ccca67d9a85adc995a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Automotive components</topic><topic>Battery</topic><topic>Commercial electric vehicles</topic><topic>Competition</topic><topic>Costs</topic><topic>Diesel fuels</topic><topic>Electric vehicles</topic><topic>Logistical constraints</topic><topic>Logistics</topic><topic>Mathematical models</topic><topic>Real-world speed profiles</topic><topic>Routing</topic><topic>Studies</topic><topic>Transportation</topic><topic>Transportation problem (Operations research)</topic><topic>Trucks</topic><topic>Urban deliveries</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Davis, Brian A.</creatorcontrib><creatorcontrib>Figliozzi, Miguel A.</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Transportation research. Part E, Logistics and transportation review</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Davis, Brian A.</au><au>Figliozzi, Miguel A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A methodology to evaluate the competitiveness of electric delivery trucks</atitle><jtitle>Transportation research. Part E, Logistics and transportation review</jtitle><date>2013-01</date><risdate>2013</risdate><volume>49</volume><issue>1</issue><spage>8</spage><epage>23</epage><pages>8-23</pages><issn>1366-5545</issn><eissn>1878-5794</eissn><coden>TRERFW</coden><abstract>► Model based on universal physics, costs and logistics relationships. ► Integrates routing constraints, speed profiles, energy consumption and vehicle costs. ► Key variables include EV, fuel, and battery costs as well as vehicle utilization. ► EVs are more competitive in routes with low speeds and full range utilization. ► Diesel vehicle cost and payload elasticity are roughly ½ the EV cost elasticity.
This paper examines the competitiveness of the latest generation of electric delivery trucks. A new model that integrates routing constraints, speed profiles, energy consumption, and vehicle ownership costs is developed. The model is applied to the study the competitiveness of three commercial vehicles: a widely available conventional diesel truck and two brands of electric trucks. Scenarios and breakeven points are calculated and analyzed for a large number parameter combination. The results show that route feasibility, minimum fleet size, distance traveled, battery life, purchase costs, and planning horizon are among the most significant factors affecting commercial electric vehicle competitiveness.</abstract><cop>Exeter</cop><pub>Elsevier India Pvt Ltd</pub><doi>10.1016/j.tre.2012.07.003</doi><tpages>16</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1366-5545 |
| ispartof | Transportation research. Part E, Logistics and transportation review, 2013-01, Vol.49 (1), p.8-23 |
| issn | 1366-5545 1878-5794 |
| language | eng |
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| source | Elsevier ScienceDirect Journals Complete - AutoHoldings |
| subjects | Automotive components Battery Commercial electric vehicles Competition Costs Diesel fuels Electric vehicles Logistical constraints Logistics Mathematical models Real-world speed profiles Routing Studies Transportation Transportation problem (Operations research) Trucks Urban deliveries |
| title | A methodology to evaluate the competitiveness of electric delivery trucks |
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