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Battery wear from disparate duty-cycles : opportunities for electric-drive vehicle battery health management : preprint

ผู้แต่ง: Kandler Smith; National Renewable Energy Laboratory (U.S.)
สำนักพิมพ์: [Golden, CO] : National Renewable Energy Laboratory, [2012]
ชุด: Conference paper (National Renewable Energy Laboratory (U.S.)), 5400-54698.
ครั้งที่พิมพ์/รูปแบบ:   หนังสืออีเล็กทรอนิกส์ : เอกสาร : สิ่งพิมพ์รัฐบาลแห่งชาติ : ภาษาอังกฤษ
ฐานข้อมูล:WorldCat
สรุป:
Electric-drive vehicles utilizing lithium-ion batteries experience wholly different degradation patterns than do conventional vehicles, depending on geographic ambient conditions and consumer driving and charging patterns. A semi-empirical life-predictive model for the lithium-ion graphite/nickel-cobalt-aluminum chemistry is presented that accounts for physically justified calendar and cycling fade mechanisms. An  อ่านมากขึ้น…
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ผู้แต่งทั้งหมด : ผู้แต่งร่วม Kandler Smith; National Renewable Energy Laboratory (U.S.)
OCLC Number: 823000557
หมายเหตุ: Title from PDF title screen (viewed on Dec. 28, 2012).
"October 2012."
"Presented at the 2012 American Control Conference, Montreal, Canada, June 27-29, 2012."
คำอธิบาย: 1 online resource (7 pages) : color illustrations.
รายละเอียด: Full text available via Internet in .pdf format. Adobe Acrobat Reader required.
ชื่อชุด: Conference paper (National Renewable Energy Laboratory (U.S.)), 5400-54698.
ชื่อเรื่องอื่น: Opportunities for electric-drive vehicle battery health management
ความรับผิดชอบ: K. Smith [and others].

บทคัดย่อ:

Electric-drive vehicles utilizing lithium-ion batteries experience wholly different degradation patterns than do conventional vehicles, depending on geographic ambient conditions and consumer driving and charging patterns. A semi-empirical life-predictive model for the lithium-ion graphite/nickel-cobalt-aluminum chemistry is presented that accounts for physically justified calendar and cycling fade mechanisms. An analysis of battery life for plug-in hybrid electric vehicles considers 782 duty-cycles from travel survey data superimposed with climate data from multiple geographic locations around the United States. Based on predicted wear distributions, opportunities for extending battery life including modification of battery operating limits, thermal and charge control are discussed.

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