State of Health Estimation of LiFePO4 Batteries for Battery Management Systems

Article Energy & Fuels

Learning to Calibrate Battery Models in Real-Time with Deep Reinforcement Learning

Ajaykumar Unagar et al.

Summary: This paper introduces a reinforcement learning-based framework for reliably inferring calibration parameters of battery models in real time without the need for labeled data samples or ground truth parameters. Experimental results demonstrate that this method can accurately infer model parameters in real time and show better generalizability than other approaches.

ENERGIES (2021)

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Article Automation & Control Systems

Online Capacity Estimation for Lithium-Ion Battery Cells via an Electrochemical Model-Based Adaptive Interconnected Observer

Anirudh Allam et al.

Summary: This article introduces a method for monitoring the state and capacity of aging batteries using electrochemical models and temperature-dependent models. By means of an adaptive observer, the estimation of states and aging parameters is achieved, and validation results demonstrate its accuracy and robustness.

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2021)

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Article Electrochemistry

A Comparison of Lithium-Ion Cell Performance across Three Different Cell Formats

Grace Bridgewater et al.

Summary: The study investigated the influence of different cell formats on lithium-ion cells, finding that stacked pouch cells showed higher discharge capacities at higher rates compared to coin and single layer pouch cells. Different formats exhibited differences in degradation mechanisms, possibly due to varying thermal and mechanical environments. Development within a single cell format may lead to improvements across all cell formats.

BATTERIES-BASEL (2021)

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Article Chemistry, Physical