Panasonic 18650PF Li-ion Battery Data

Published: 21 June 2018| Version 1 | DOI: 10.17632/wykht8y7tg.1
Phillip Kollmeyer


The included tests were performed at the University of Wisconsin-Madison by Dr. Phillip Kollmeyer ( If this data is utilized for any purpose, it should be appropriately referenced. The tests can be used to test Neural Network and Kalman Filter State of Charge algorithms, or to develop battery models, and are intended to be a reference so researchers can compare their algorithm and model performance for a standard data set. The test data, or similar data, has been used for numerous publications, including: E. Chemali, P. J. Kollmeyer, M. Preindl, R. Ahmed and A. Emadi, "Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries," in IEEE Transactions on Industrial Electronics, vol. 65, no. 8, pp. 6730-6739, Aug. 2018. doi: 10.1109/TIE.2017.2787586 R. Zhao, P. J. Kollmeyer, R. D. Lorenz and T. M. Jahns, "A compact unified methodology via a recurrent neural network for accurate modeling of lithium-ion battery voltage and state-of-charge," 2017 IEEE Energy Conversion Congress and Exposition (ECCE), Cincinnati, OH, 2017, pp. 5234-5241. doi: 10.1109/ECCE.2017.8096879 P.J. Kollmeyer, A. Hackl and A. Emadi, "Li-ion battery model performance for automotive drive cycles with current pulse and EIS parameterization," 2017 IEEE Transportation Electrification Conference and Expo (ITEC), Chicago, IL, 2017, pp. 486-492. doi: 10.1109/ITEC.2017.7993319 P. J. Kollmeyer, Development and Implementation of a Battery-Electric Light-Duty Class 2a Truck including Hybrid Energy Storage, PhD Dissertation, Dept. Elect. Eng., University of Wisconsin-Madison, 2015. For the tests, a brand new 2.9Ah Panasonic 18650PF cell was tested in an 8 cu.ft. thermal chamber with a 25 amp, 18 volt Digatron Firing Circuits Universal Battery Tester channel. A series of tests, including HPPC, drive cycles, and impedance spectroscopy, were performed at five different temperatures. The battery was charged after each test at a 1C rate to 4.2V, 50mA cut off, with battery temperature 12degC or greater). See the readme file for additional details.



University of Wisconsin Madison, McMaster University


Kalman Filtering, Lithium Ion Battery, Energy Storage, Electric Vehicles, Neural Networks