This report is intended to address the failure mode analysis gap by developing a classification system that is practical for both technical and non-technical stakeholders.
![BESS failure analysis](https://cdn.prod.website-files.com/62c5fb013e3247785dec969f/664dc89bdb2f7c11e8c1a8d5_BESS-failure-analysis-EPRI.webp)
Research Papers
Insights from EPRI's BESS failure incident database
BESS failure: study identifies opportunities for battery analytics to prevent incidents
There is currently no public resource that categorizes BESS incidents by cause of failure. The joint report from EPRI, PNNL & TWAICE fills this gap by analyzing aggregated failure data. Understanding how and why BESS fail is a major priority to the energy industry. Learning from failure incidents will improve prevention and mitigation measures. The report classifies failure events and provides recommendations for future development.
Download the infographic here:
![](https://cdn.prod.website-files.com/62c5fa622d1a00242eb58c2c/66d80d585ec9e7c5b089fab5_Improve%20BESS%20performance%20and%20secure%20revenue.webp)
Featured Resources · Webinar
Improve BESS Performance & Secure Revenue
Join us as we introduce the TWAICE Performance Manager, a cutting-edge solution designed to enhance the performance and availability of Battery Energy Storage Systems.
September 25, 10:00am (ET) | 4:00pm (CET)
Sign upRelated Resources
![Battery material](https://cdn.prod.website-files.com/62c5fb013e3247785dec969f/6627d36c5bf4feedb3dd4798_31036-5615-2.webp)
Non-destructive electrode potential and open-circuit voltage aging estimation for lithium-ion batteries
In this publication we extend a state-of-the-art electrode open circuit potential model for blend electrodes and inhomogeneous lithiation. We introduce a bi-level optimization algorithm to estimate the open parameters of the electrode model using measurements conducted on the full-cell level with state-of-the-art testing equipment.
![Battery development](https://cdn.prod.website-files.com/62c5fb013e3247785dec969f/6627d63eacef0440603502c6_Battery%20TWAICE-3.webp)
Mechanistic cycle aging model for the open-circuit voltage curve of lithium-ion batteries
Cycling lithium-ion batteries causes capacity fade, but also changes the shape of the open-circuit voltage (OCV) curve, due to loss of active material (LAM) and loss of lithium inventory (LLI). To model this change, we recently proposed a novel empirical calendar aging model that is parameterized on component states of health (s) instead of capacity fade only.
![Battery material](https://cdn.prod.website-files.com/62c5fb013e3247785dec969f/65f9799674e71012547d7433_TWAICE_Munich-Battery-Lab-tour-resized-2.webp)
Mechanistic calendar aging model for lithium-ion batteries
In this work we present a novel mechanistic calendar aging model for a commercial lithium-ion cell with NCA cathode and silicon-graphite anode. The mechanistic calendar aging model is a semi-empirical aging model that is parameterized on component states of health, instead of capacity.