activity
20162024
most citedLite-Sparse Hierarchical Partial Power Processing for Second-Use Battery Energy Storage Systems

19 citations · 48 across the 13 of their papers we have counts for

collaborators

13 papers

eess.SY2024★ 1 cited

The Case for DeepSOH: Addressing Path Dependency for Remaining Useful Life

Hamidreza Movahedi, Andrew Weng, Sravan Pannala +2

The battery state of health (SOH) based on capacity fade and resistance increase is not sufficient for predicting Remaining Useful life (RUL). The electrochemical community blames…

cond-mat.mtrl-sci2023★ 2 cited

Modeling battery formation: boosted SEI growth, multi-species reactions, and irreversible expansion

Andrew Weng, Everardo Olide, Iaroslav Kovalchuk +2

This work proposes a semi-empirical model for the SEI growth process during the early stages of lithium-ion battery formation cycling and aging. By combining a full-cell model whic…

eess.SY2023★ 6 cited

Differential voltage analysis for battery manufacturing process control

Andrew Weng, Jason B. Siegel, Anna Stefanopoulou

Voltage-based battery metrics are ubiquitous and essential in battery manufacturing diagnostics. They enable electrochemical "fingerprinting" of batteries at the end of the manufac…

eess.SY2022★ 2 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…

cs.CE2022

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…

eess.SY2022★ 1 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.SY2021★ 19 cited

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…

eess.SY2021★ 13 cited

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…

eess.SY2020★ 2 cited

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.SY2020★ 2 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…

physics.chem-ph2016

Intercalation driven porosity effects in coupled continuum models for the electrical, chemical, thermal and mechanical response of battery electrode materials

Zhenlin Wang, Jason B. Siegel, Krishna Garikipati

We present a coupled continuum formulation for the electrostatic, chemical, thermal and mechanical processes in battery materials. Our treatment applies on the macroscopic scale, a…