activity
20202022
most citedPredicting the impact of formation protocols on battery lifetime immediately after manufacturing

168 citations · 173 across the 5 of their papers we have counts for

collaborators

7 papers

eess.SY20222 cited

Parallel-Connected Battery Current Imbalance Dynamics

Andrew Weng, Sravan Pannala, Jason B. Siegel +1

In this work, we derive analytical expressions governing state-of-charge and current imbalance dynamics for two parallel-connected batteries. The model, based on equivalent circuit…

eess.SY2022168 cited

Predicting the impact of formation protocols on battery lifetime immediately after manufacturing

Andrew Weng, Peyman Mohtat, Peter M. Attia +4

Increasing the speed of battery formation can significantly lower lithium-ion battery manufacturing costs. However, adopting faster formation protocols in practical manufacturing s…

eess.SY20221 cited

A Fast Diagnostic to Inform Screening of Discarded or Retired Batteries

Joseph A. Drallmeier, Clement Wong, Charles E. Solbrig +2

With the increased pervasiveness of Lithium-ion batteries, there is growing concern for the amount of retired batteries that will be entering the waste stream. Although these batte…

eess.SY2021

An Algorithmic Safety VEST For Li-ion Batteries During Fast Charging

Peyman Mohtat, Sravan Pannala, Valentin Sulzer +2

Fast charging of lithium-ion batteries is crucial to increase desirability for consumers and hence accelerate the adoption of electric vehicles. A major barrier to shorter charge t…

eess.SY2020

Li-ion Battery Fault Detection in Large Packs Using Force and Gas Sensors

Ting Cai, Peyman Mohtat, Anna G. Stefanopoulou +1

Internal short circuits are a leading cause of battery thermal runaway, and hence a major safety issue for electric vehicles. An internal short circuit with low resistance is calle…

stat.AP2020

Promise and Challenges of a Data-Driven Approach for Battery Lifetime Prognostics

Valentin Sulzer, Peyman Mohtat, Suhak Lee +2

Recent data-driven approaches have shown great potential in early prediction of battery cycle life by utilizing features from the discharge voltage curve. However, these studies ca…