Publications related to Battery management system

Health Prediction for Lithium-Ion Batteries Under Unseen Working Conditions

Battery health prediction is significant while challenging for intelligent battery management. This article proposes a general framework for both short-term and long-term predictions of battery health under unseen dynamic loading and temperature conditions ...

Ieee-Inst Electrical Electronics Engineers Inc2024

Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection

Florent Evariste Forest, Yunhong Che

Predictive health assessment is of vital importance for smarter battery management to ensure optimal and safe operations and thus make the most use of battery life. This paper proposes a general framework for battery aging prognostics in order to provide t ...

London2023

Reinforcement Learning for Joint Design and Control of Battery-PV Systems

Christophe Ballif, Laure-Emmanuelle Perret Aebi, Marine Dominique Cauz

The decentralisation and unpredictability of new renewable energy sources require rethinking our energy system. Data-driven approaches, such as reinforcement learning (RL), have emerged as new control strategies for operating these systems, but they have n ...

2023

Accelerated Workflow for Antiperovskite-based Solid State Electrolytes

Andrea Fedrigucci, Ivano Eligio Castelli

We developed and implemented a multi-target multi-fidelity workflow to explore the chemical space of antiperovskite materials with general formula X(3)BA (X=Li, Na, Mg) and Pm-3m space group, searching for stable high-performance solid state electrolytes f ...

WILEY-V C H VERLAG GMBH2023

Ageing-aware battery discharge prediction with deep learning

Olga Fink, Luca Biggio

Electrochemical batteries are ubiquitous devices in our society. When employed in mission-critical applications, the ability to precisely predict their end-of-discharge under highly variable operating conditions is of paramount importance in order to suppo ...

ELSEVIER SCI LTD2023

Performance evaluation and the implementation of the turbocharger, fuel cell, and battery in Unmanned Aerial Vehicles (UAVs)

Jan Van Herle, Hossein Pourrahmani

The current study evaluates integrating fuel cell technology into the batteries as an alternative for internal combustion engines (ICEs) for Unmanned Aerial Vehicles (UAV). To further improve the performance of the UAV, a turbocharger is also integrated to ...

Amsterdam2023

A fluoropolymer bifunctional solid membrane interface for improving the discharge duration in aqueous Al-air batteries

Thi Ha My Pham, Liping Zhong, Manhui Wei, Meixia Zhang

Herein, a fluoropolymer bifunctional solid membrane interface (SMI) for an aqueous Al-air battery is proposed, which inhibits anodic self-corrosion, while concurrently reducing the accumulation of undesirable by-products. A battery using the SMI exhibits a ...

ROYAL SOC CHEMISTRY2023

Operando Electrochemical Liquid Cell Scanning Transmission Electron Microscopy Investigation of the Growth and Evolution of the Mosaic Solid Electrolyte Interphase for Lithium-Ion Batteries

Corsin Battaglia, Rolf Erni

The solid electrolyte interphase (SEI) is a key component of a lithium-ion battery forming during the first few dischage/charge cycles at the interface between the anode and the electrolyte. The SEI passivates the anode-electrolyte interface by inhibiting ...

Washington2023

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Battery management system

Health Prediction for Lithium-Ion Batteries Under Unseen Working Conditions

MEMS-based Tunable Metasurface for Reflective Display Applications

Diving into the heterogeneity of the visual system

Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection

Reinforcement Learning for Joint Design and Control of Battery-PV Systems

Accelerated Workflow for Antiperovskite-based Solid State Electrolytes

Ageing-aware battery discharge prediction with deep learning

Performance evaluation and the implementation of the turbocharger, fuel cell, and battery in Unmanned Aerial Vehicles (UAVs)

A fluoropolymer bifunctional solid membrane interface for improving the discharge duration in aqueous Al-air batteries

Operando Electrochemical Liquid Cell Scanning Transmission Electron Microscopy Investigation of the Growth and Evolution of the Mosaic Solid Electrolyte Interphase for Lithium-Ion Batteries

Graph Chatbot

Chat with Graph Search

Health Prediction for Lithium-Ion Batteries Under Unseen Working Conditions

MEMS-based Tunable Metasurface for Reflective Display Applications

Diving into the heterogeneity of the visual system

Accelerated Workflow for Antiperovskite-based Solid State Electrolytes

Reinforcement Learning for Joint Design and Control of Battery-PV Systems

Ageing-aware battery discharge prediction with deep learning

Performance evaluation and the implementation of the turbocharger, fuel cell, and battery in Unmanned Aerial Vehicles (UAVs)

Operando Electrochemical Liquid Cell Scanning Transmission Electron Microscopy Investigation of the Growth and Evolution of the Mosaic Solid Electrolyte Interphase for Lithium-Ion Batteries

A fluoropolymer bifunctional solid membrane interface for improving the discharge duration in aqueous Al-air batteries

Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection