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

168 citations · 170 across the 3 of their papers we have counts for

collaborators

5 papers

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.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…

eess.SY20202 cited

Improved Battery State Estimation Under Parameter Uncertainty Caused by Aging Using Expansion Measurements

Sravan Pannala, Puneet Valecha, Peyman Mohtat +2

Accurate tracking of the internal electrochemical states of lithium-ion battery during cycling enables advanced battery management systems to operate the battery safely and maintai…