Battery Charging Application with Thermoelectric Generators as Energy Harvesters by Zakariya M. Dalala, Zaid S. Hamdan, Hussein Al-Taani, Mohammad Al-Addous, Aiman Albatayneh

“…The boundary conditions for battery chargers include the charging current and battery voltage limits which have to be respected throughout the charging process, while the maximization of the power generated from the TEG is a global target that is desired to be met as much as possible. …”
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Thermodynamics of multi-sublattice battery active materials: from an extended regular solution theory to a phase-field model of LiMnyFe1-yPO4 by Pierfrancesco Ombrini, Martin Z. Bazant, Marnix Wagemaker, Alexandros Vasileiadis

“…Abstract Phase separation during the lithiation of redox-active materials is a critical factor affecting battery performance, including energy density, charging rates, and cycle life. …”
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Data from long time testing of 18650 lithium polymer batteries by Martin Novak, Jan Chysky, Lukas Novak

“…This is a data set from long time testing of 18650 Lithium polymer batteries. It includes the following batteries: Samsung ICR18650-30B (2950 mAh), Joy NCR18650A300A (3000 mAh), GP 03624RC 3.6 V (3000 mAh) and EVC 200L06C (2000 mAh). …”
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Artificial neural network driven prognosis and estimation of Lithium-Ion battery states: Current insights and future perspectives by A.G. Olabi, Aasim Ahmed Abdelghafar, Bassel Soudan, Abdul Hai Alami, Concetta Semeraro, Muaz Al Radi, Mohammed Al-Murisi, Mohammad Ali Abdelkareem

“…Accordingly, there has been extensive interest in the use of Artificial Intelligence (AI) methods for this purpose.This work is a comprehensive review of Artificial Neural Network (ANN) use in the estimation of Li-ion battery states, including state of charge, state of health, remaining useful life, thermal state and other parameters. …”
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Thermodynamics of multi-sublattice battery active materials: from an extended regular solution theory to a phase-field model of LiMnyFe1-yPO4 by Ombrini, Pierfrancesco, Bazant, Martin Z, Wagemaker, Marnix, Vasileiadis, Alexandros

“…Phase separation during the lithiation of redox-active materials is a critical factor affecting battery performance, including energy density, charging rates, and cycle life. …”
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Power generation : distribution, applications and implications / by Marini, Lauren, editor

Estimate e-Golf Battery State Using Diagnostic Data and a Digital Twin by Lukas Merkle, Michael Pöthig, Florian Schmid

“…In this work, we set up a data pipeline and digital battery twin to track the battery state, including State of charge (SOC) and State of Health (SOH). …”
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Contralateral Cochlear Labyrinthine Concussion without Temporal Bone Fracture: Unusual Posttraumatic Consequence by I. M. Villarreal, D. Méndez, J. M. Duque Silva, P. Ortega del Álamo

“…The temporal bone trauma requires a complete diagnostic battery which includes a neurotologic examination and a high resolution computed tomography scan in the first place. …”
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Evaluating Energy Storage Technologies for Electric Vehicles: A Comparative Analysis and Battery Management System Overview by Mishra Heena, Tripathi Abhishek Kumar, Sharma Ayush Kumar, Laxshmi G. Sree

“…The study then conducts a meticulous analysis of key battery attributes, including energy density, power density, capacity, charge/discharge rates, life cycles, and cost per kWh. …”
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A Low-Cost Hardware Architecture for EV Battery Cell Characterization Using an IoT-Based Platform by Rafael Martínez-Sánchez, Ángel Molina-García, Alfonso P. Ramallo-González, Juan Sánchez-Valverde, Benito Úbeda-Miñarro

“…For this reason, and with the aim of extending the life of the batteries, even including a second life within electric vehicle applications, this paper describes and evaluates a low-cost system to characterize individual cells of commercial electric vehicle batteries by identifying such abnormally performing cells that are out of use, minimizing regeneration costs in a more sustainable manner. …”
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State-of-Charge Balancing Control of a Modular Multilevel Converter with an Integrated Battery Energy Storage by Hui Liang, Long Guo, Junhong Song, Yong Yang, Weige Zhang, Hongfeng Qi

“…By analyzing the power flow characteristics among all sources within the MMC-BESS, a three-level SOC equilibrium control strategy aiming to battery capacity inconsistency is proposed to balance the energy of batteries, which includes SOC balance among three-phase legs, SOC balance between the upper and lower arms of each phase, and SOC balance of submodules within each arm. …”
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Data-Driven Modeling and Open-Circuit Voltage Estimation of Lithium-Ion Batteries by Edgar D. Silva-Vera, Jesus E. Valdez-Resendiz, Gerardo Escobar, Daniel Guillen, Julio C. Rosas-Caro, Jose M. Sosa

“…This article presents a data-driven methodology for modeling lithium-ion batteries, which includes the estimation of the open-circuit voltage and state of charge. …”
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Enhancing Car Battery Energy Efficiency with Phase Change Material Nanocomposites: A Concise Review by Mohamad Shafagati, Aziz Babapoor, MohammadAli Bamdezh

“…The objective is to comprehensively understand why researchers employ different types of phase change materials (PCMs) in this field and how these materials can influence battery cooling, including factors such as the thermal conductivity of PCMs. …”
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Integrated Approach Based on Dual Extended Kalman Filter and Multivariate Autoregressive Model for Predicting Battery Capacity Using Health Indicator and SOC/SOH by Jinhyeong Park, Munsu Lee, Gunwoo Kim, Seongyun Park, Jonghoon Kim

“…To enhance the efficiency of an energy storage system, it is important to predict and estimate the battery state, including the state of charge (SOC) and state of health (SOH). …”
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Numerical activities and information learned at home link to the exact numeracy skills in 5 to 6 years-old children by Silvia eBenavides-Varela, Silvia eBenavides-Varela, Brian eButterworth, Francesca eBurgio, Francesca eBurgio, Giorgio eArcara, Daniela eLucangeli, Carlo eSemenza, Carlo eSemenza, Carlo eSemenza

“…In the present study the mathematical performance of 110 children (mean age 5y11m) was evaluated using a battery that included tests of approximate and exact numerical abilities, as well as everyday numerical problems. …”
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Ferroelectric-enhanced batteries for rapid charging and improved long-term performance by Qingping Wang, Zane A. Grady, Chris R. Bowen, James I. Roscow

“…Reported mechanisms of ferroelectric-enhanced battery performance include space charge layer modulation to increase ionic conductivity within electrolytes or reduce interfacial resistance between electrode and electrolyte, improved rate kinetics by promoting reactions within the anode or cathode, improved battery stability, and the mitigation of polysulfide shuttling effects in lithium-sulfur batteries. …”
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Economic analysis of lithium-ion battery recycling by Eduardo Enrique Martinez Jorges, António M.N. Quintino, Diogo M.F. Santos

“…This work compares the benefits, economic advantages and disadvantages of battery recycling, including second-life battery applications. …”
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A Review of the Applications of Explainable Machine Learning for Lithium–Ion Batteries: From Production to State and Performance Estimation by Mona Faraji Niri, Koorosh Aslansefat, Sajedeh Haghi, Mojgan Hashemian, Rüdiger Daub, James Marco

“…This paper addresses the latest developments in explainable machine learning known as XML and its application to lithium–ion batteries. It includes a critical review of the XML in the manufacturing and production phase, and then later, when the battery is in use, for its state estimation and control. …”
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2D Combustion Modeling of Cell Venting Gas in a Lithium-Ion Battery Pack by Yuanying Zhang, Enhua Wang, Cheng Li, Hewu Wang

“…Next, the effects of the initial conditions inside the battery pack, including the pressure, temperature, and excess air coefficient, on the flame propagation process and pressure variation are evaluated. …”
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Structural Optimization and Thermal Management with PCM-Honeycomb Combination for Photovoltaic-Battery Integrated System by Xinxi Li, Jiangyun Zhang, Dequan Zhou, Guoqing Zhang, Hongwei Wu, Rensheng Liu

“…Three types of PV battery systems including the general PV–battery integrated system (G–PBIS), honeycomb PV–battery integrated system (H–PBIS), and honeycomb–paraffin PV–battery integrated system (HP–PBIS) have been investigated in detail. …”
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