[HTML][HTML] Investigating re-parametrization of electrochemical model-based battery management using real-world driving data

M Streb, M Andersson, VL Klass, M Klett, M Johansson… - ETransportation, 2023 - Elsevier
Li-ion batteries in electric vehicles must be utilized more efficiently to lower their economic
and environmental cost. To achieve this increase in efficiency, it is of large interest to …

Fast charging of lithium-ion batteries While accounting for degradation and cell-to-cell variability

M Kim, J Schaeffer, MD Berliner… - Journal of The …, 2024 - iopscience.iop.org
Safety and maintaining high performance are key considerations during the operation of
lithium-ion batteries. Battery degradation, in particular lithium plating and loss of active …

Efficient computation of robust, safe, fast charging protocols for lithium-ion batteries

G Galuppini, MD Berliner, H Lian, D Zhuang… - Control Engineering …, 2024 - Elsevier
The design of fast charging protocols is fundamental to improving the performance and
lifetime of lithium-ion batteries. It is well-known that charging operations consistently …

Critical Review of Optimal Control Methods for Li‐Ion Batteries in Electric Vehicles

Y Kim - ChemElectroChem, 2024 - Wiley Online Library
Battery management systems are important for the safe and efficient operation of electric
vehicles. Although high hardware performance and effective configurations of batteries have …

Imitation Learning for Agnostic Battery Charging: A DAGGER-Based Approach

A Pozzi, D Toti - IEEE Access, 2023 - ieeexplore.ieee.org
This work presents a novel approach to the challenge of battery charging under real-world
constraints, related to uncertainties in system parameters and unmeasurable internal states …

Polynomial Chaos-based Stochastic Model Predictive Control: An Overview and Future Research Directions

PK Mishra, JA Paulson, RD Braatz - arXiv preprint arXiv:2406.10734, 2024 - arxiv.org
This article is devoted to providing a review of mathematical formulations in which
Polynomial Chaos Theory (PCT) has been incorporated into stochastic model predictive …

Integration of Hardware and Software for Battery Hardware-in-the-Loop Toward Battery Artificial Intelligence

S Park, S Moura, K Lee - IEEE Transactions on Transportation …, 2023 - ieeexplore.ieee.org
This article demonstrates a novel, compact-sized hardware-in-the-loop (HIL) system, and its
verification using machine learning (ML) and artificial intelligence (AI) features in battery …

Model Predictive Control Design under Stochastic Parametric Uncertainties Based on Polynomial Chaos Expansions for F-16 Aircraft

H Purnawan, T Asfihani, S Kim… - Journal of Robotics and …, 2024 - journal.umy.ac.id
Parametric uncertainty in a dynamical system has the potential to undermine the
performance of a closed-loop controller designed through classical techniques. This paper …

Deep reinforcement learning based fast charging and thermal management optimization of an electric vehicle battery pack

MH Abbasi, Z Arjmandzadeh, J Zhang, B Xu… - Journal of Energy …, 2024 - Elsevier
Existing optimal strategies for fast-charging electric vehicle batteries are predominantly at
the cell level. The proposed high-fidelity methods for extending available cell models to pack …

Real-world data-driven charging strategies for incorporating health awareness in electric buses

T Li, W Zhang, G Huang, H He, Y Xie, T Zhu… - Journal of Energy …, 2024 - Elsevier
Electric buses are progressively supplanting conventional fuel-powered vehicles in urban
public transportation. However, owing to the extensive daily mileage and frequent charging …