activity
20222026
most citedPredicting the impact of formation protocols on battery lifetime immediately after manufacturing

168 citations · 180 across the 9 of their papers we have counts for

collaborators

9 papers

eess.SY2026

Health feature extraction from battery energy storage system field fault data

Clement Wong, Andrew Weng, Xin Hui Ooi +6

Health monitoring methods are critical for lithium-ion battery modules connected to the grid to prevent faults that can lead to catastrophic events. However, assessing the health o…

eess.SY2026

Modeling and Estimation of Solid Electrolyte Interphase during Formation in Battery Manufacturing

Zhiwen Wan, Hamidreza Movahedi, Wenxue Liu +4

The solid electrolyte interphase (SEI) - a critical passivation layer that governs the longevity, safety, and efficiency of lithium-ion batteries - is created during the last step…

eess.SY2024

Differential Voltage Analysis and Patterns in Parallel-Connected Pairs of Imbalanced Cells

Clement Wong, Andrew Weng, Sravan Pannala +3

Diagnosing imbalances in capacity and resistance within parallel-connected cells in battery packs is critical for battery management and fault detection, but it is challenging give…

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…

eess.SY2023★ 1 cited

Current imbalance in dissimilar parallel-connected batteries and the fate of degradation convergence

Andrew Weng, Hamidreza Movahedi, Clement Wong +2

This paper proposes an analytical framework describing how initial capacity and resistance variability in parallel-connected battery cells may inflict additional variability or red…

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…

eess.SY2022★ 168 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…