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Maitane Berecibar on Muck Rack

Maitane Berecibar

As seen in: Nature, MDPI
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Articles

Advanced Modeling and State Estimation Technologies for Next-Generation Battery Management

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By Alex Fornes, Maitane Berecibar, Sazzad Hosen
| brnw.ch
Dear Colleagues, Lithium-ion batteries (LIBs) have been widely deployed in various energy storage applications, ranging from customer electronics, electric vehicles, grid energy storage systems, and even flying cars. However, several common concerns, such as short driving mileage, potential safety hazards, and unpredictable degradation, greatly hinder the further adoption of battery-powered devices.
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Emerging sensor technologies and physics-guided methods for monitoring automotive lithium-based batteries - Communications Engineering

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By Xia Zeng, Maitane Berecibar
| Nature Verified
Abstract As the automotive industry undergoes a major shift to electric propulsion, reliable assessment of battery health and potential safety issues is critical. This review covers advances in sensor technology, from mechanical and gas sensors to ultrasonic imaging techniques that provide insight into the complex structures and dynamics of lithium-ion batteries.
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A Digitalized Methodology for Co-Design Structural and Performance Optimization of Battery Modules

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By Sazzad Hosen, Joeri Van Mierlo, Maitane Berecibar, Theodoros Kalogiannis
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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