Title :
Large-scale battery system modeling and analysis for emerging electric-drive vehicles
Author :
Li, Kun ; Wu, Jie ; Jiang, Yifei ; Hassan, Zyad ; Lv, Qin ; Shang, Li ; Maksimovic, Dragan
Author_Institution :
Dept. of Electrical, Computer & Energy Engineering, University of Colorado at Boulder, CO 80309
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.
Keywords :
Aging; Analytical models; Batteries; Discharges; Equations; Mathematical model; Temperature measurement; Analysis; Battery system model; Electric-drive vehicles;
Conference_Titel :
Low-Power Electronics and Design (ISLPED), 2010 ACM/IEEE International Symposium on
Conference_Location :
Austin, TX, USA
Print_ISBN :
978-1-4244-8588-8