168 citations · 204 across the 8 of their papers we have counts for
8 papers
A Non-intrusive Approach for Physics-constrained Learning with Application to Fuel Cell Modeling
Vishal Srivastava, Valentin Sulzer, Peyman Mohtat +2
A data-driven model augmentation framework, referred to as Weakly-coupled Integrated Inference and Machine Learning (IIML), is presented to improve the predictive accuracy of physi…
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…
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…
Lite-Sparse Hierarchical Partial Power Processing for Second-Use Battery Energy Storage Systems
Xiaofan Cui, Alireza Ramyar, Peyman Mohtat +4
The explosive growth of electric vehicles (EVs) is leading to a surge in retired EV batteries, which are typically recycled despite having nearly 80% available capacity. Repurposin…
Comparing Power Processing System Approaches in Second-Use Battery Energy Buffering for Electric Vehicle Charging
Xiaofan Cui, Alireza Ramyar, Jason Siegel +3
The heterogeneity in pack voltages and capacity of aged packs limits the performance and economic viability of second-use battery energy storage systems (2-BESS) due to issues of r…
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…
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…
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…