Battery Capacity Fading Estimation Using a Force Based Incremental Capacity Analysis
Traditionally health monitoring techniques in lithium ion batteries rely on voltage and current measurements. A novel method of using a mechanical rather than electrical signal in the incremental capacity analysis (ICA) method is introduced in this paper. This method derives the incremental capacity curves based on measured force (ICF) instead of voltage (ICV) The force is measured on the surface of a cell under compression in a fixture that replicates a battery pack assembly and preloading. The analysis is performed on data collected from cycling encased prismatic Lithium ion Nickel Manganese Cobalt Oxide (NMC) cells. For the NMC chemistry, the ICF method can complement or replace the ICV method for the following reasons. The identified ICV peaks are centered around 40% of state of charge (SOC) while the peaks of the ICF method are centered around 70% of SOC indicating that the ICF can be used more often because it is more likely that an electric vehicle (EV) or a plug in hybrid electric vehicle (PHEV) will traverse the 70% SOC range than the 40% SOC. In addition the Signal to Noise ratio (SNR) of the force signal is four times larger than the voltage signal using laboratory grade sensors. The proposed ICF method is shown to achieve 0.42% accuracy in capacity estimation during a low C rate constant current discharge. Future work will investigate the application of the capacity estimation technique under charging and operation under high C rates by addressing the transient behavior of force so that an online methodology for capacity estimation is developed. The Author(s) 2016. Published by ECS. This is an open access article distributed under the terms of the Creative Commons Attribution Non Commercial No Derivatives 4.0 License (CC BY NC ND, http:/creativecommons.org/licenses/by nc nd/4.0/ which permits non commercial reuse, distribution, and reproduction in any medium, provided the original work is not changed in any way and is properly cited. For permission for commercial reuse, please email: oa@electrochem.org. [DOI: 10.1149/2.0511608jes] All rights reserved.