锂离子电池寿命模型（英文）---NREL.pdf-solarbe文库

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NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Predictive Models of Li-ion Battery Lifetime Kandler Smith, Ph.D. Eric Wood, Shriram Santhanagopalan, Gi-Heon Kim, Ying Shi, Ahmad Pesaran National Renewable Energy Laboratory Golden, Colorado IEEE Conference on Reliability Science for Advanced Materials and Devices Colorado School of Mines Golden, Colorado September 7-9, 2014 NREL/PR-5400-62813 2 Key Messages Semi-empirical battery lifetime models are generally suitable for system design life model of Ford/Panasonic cell; controls validation of Ford PHEV packs Eaton Corporation Project Downsized HEV pack by 50 through enabling battery prognostic controls validation on Eaton HEV packs Washington Univ. Project Improve available energy at the cell level by 20 based on real-time predictive modeling implement WU reformulated models on BMS; validate at cell life model of Ford/Panasonic cell; controls validation of Ford PHEV packs 1C Energy Wh Teardown analysis of automotive pack aged to 70 remaining energy shows ±5.5 variation at EOL ±5.5 variation at EOL Active balancing most benefits energy applications with large cell- to-cell disparity Key question How much does cell-to-cell disparity grow with age Extreme driving conditions, large pack ΔT cause abnormally large cell capacity imbalance growth 28 Summary Main factors controlling battery lifetime o Time at high T Low/high T SOC Semi-empirical battery lifetime models are generally suitable for system design control o NREL models describe various commercial chemistries o Life extensions of 20 to 50 may be possible Physics lifetime models to provide design feedback o Electrochemical/thermal processes well understood o Mechanics coupling underway at various length scales 29 Funding US Dept. of Energy – Vehicle Technologies Office Brian Cunningham, David Howell US Dept. of Energy – Advanced Research Projects Agency Ilan Gur, Patrick McGrath, Russel Ross US Army Tank Automotive Research, Development Engineering Center Yi Ding, Sonya Zanardelli, Matt Castanier Collaborators Texas AM University Partha Mukherjee, Pallab Barai, Kai An University of Colorado at Boulder Kurt Maute, Reza Behrou, Dragan Maksimovic, Andrew Hoke Colorado School of Mines Corinne Packard, David Diercks, Brian Gorman Eaton Corporation Chinmaya Patil Utah State Regan Zane Ford Motor Company Dyche Anderson Acknowledgements 30 Thank you

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