NDLI: Large-scale battery system modeling and analysis for emerging electric-drive vehicles

Content Provider	IEEE Xplore Digital Library
Author	Li, Kun Wu, Jie Jiang, Yifei Hassan, Zyad Lv, Qin Shang, Li Maksimovic, Dragan
Copyright Year	2010
Description	Author affiliation: Dept. of Computer Science, University of Colorado at Boulder, CO 80309 (Jiang, Yifei; Lv, Qin) \|\| Dept. of Electrical, Computer & Energy Engineering, University of Colorado at Boulder, CO 80309 (Li, Kun; Hassan, Zyad; Shang, Li; Maksimovic, Dragan) \|\| TNLIST, Inst. of Microelectronics, Tsinghua University, Beijing 100084 P.R. China (Wu, Jie)
Abstract	Emerging electric-drive vehicles demonstrate the potential for significant reduction of petroleum consumption and greenhouse gas emissions. Existing electric-drive vehicles typically include a battery system consisting of thousands of Lithium-ion battery cells. Therefore, large-scale battery-system modeling and analysis is essential for battery system performance analysis, next-generation battery system design, and transportation electrification. This paper presents a modeling and analysis framework for large-scale Lithium-ion battery systems. The proposed solution models major run-time and long-term battery effects, and uses fast frequency-domain analysis techniques. It enables efficient and accurate characterization of large-scale battery system run-time charge-cycle energy efficiency and long-term cycle life. Our solution is validated against physical measurements using real-world user driving studies.
Starting Page	277
Ending Page	282
File Size	454383
Page Count	6
File Format	PDF
ISBN	9781424485888
DOI	10.1145/1840845.1840903
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Association for Computing Machinery, Inc. (ACM)
Subject Keyword	Batteries Aging Mathematical model Equations Discharges Analytical models Temperature measurement Analysis Battery system model Electric-drive vehicles
Content Type	Text
Resource Type	Article

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