Life Prediction Model for Grid-Connected Li-ion Battery Energy Storage System

Conference · Wed Sep 06 04:00:00 EDT 2017

DOI:https://doi.org/10.23919/ACC.2017.7963578· OSTI ID:1390498

Smith, Kandler A ^[1]; Saxon, Aron R ^[1]; Keyser, Matthew A ^[1]; Lundstrom, Blake R ^[1]; Cao, Ziwei ^[2]; Roc, Albert ^[2]

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1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
2. SunPower Corporation

Lithium-ion (Li-ion) batteries are being deployed on the electrical grid for a variety of purposes, such as to smooth fluctuations in solar renewable power generation. The lifetime of these batteries will vary depending on their thermal environment and how they are charged and discharged. To optimal utilization of a battery over its lifetime requires characterization of its performance degradation under different storage and cycling conditions. Aging tests were conducted on commercial graphite/nickel-manganese-cobalt (NMC) Li-ion cells. A general lifetime prognostic model framework is applied to model changes in capacity and resistance as the battery degrades. Across 9 aging test conditions from 0oC to 55oC, the model predicts capacity fade with 1.4% RMS error and resistance growth with 15% RMS error. The model, recast in state variable form with 8 states representing separate fade mechanisms, is used to extrapolate lifetime for example applications of the energy storage system integrated with renewable photovoltaic (PV) power generation.

• Research Organization: National Renewable Energy Laboratory (NREL), Golden, CO (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
• DOE Contract Number: AC36-08GO28308
• OSTI ID: 1390498
• Report Number(s): NREL/PR-5400-68759
• Country of Publication: United States
• Language: English

Related Subjects

25 ENERGY STORAGE
29 ENERGY PLANNING, POLICY, AND ECONOMY
aging
energy storage
life
lifetime
lithium-ion battery
modeling
photovoltaics
reliability