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Published in 2019 at "Applied Energy"
DOI: 10.1016/j.apenergy.2019.113813
Abstract: Abstract Lithium-ion batteries are considered as promising electric energy storage systems. However, identification of battery health is a critical issue. Furthermore, battery aging extremely depends on operating conditions. Therefore, monitoring and analysis of battery health…
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Keywords:
real time;
condition;
time;
battery health ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3556314
Abstract: A novel hybrid model, denoted by Causal Physics-Informed Hybrid Learning Neural Networks (CPIHL), is developed in this study to significantly enhance the accuracy, interoperability, and real-time feasibility of battery health predictions. The model incorporates the…
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Keywords:
battery;
framework;
causal physics;
battery health ... See more keywords
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Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2023.3342367
Abstract: The amount of battery-powered Internet of Things (IoT) devices is strongly increasing. Predicting their battery health is important to maintain and proactively replace them to avoid outages. This article gives an overview of the existing…
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Keywords:
battery;
rul;
battery health;
iot ... See more keywords
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Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3429338
Abstract: Small devices, such as drills, are increasingly being equipped with Internet of Things (IoT) functions that make it possible to collect usage data, adapt the way they work, and also gain insights into the further…
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Keywords:
battery;
capacity;
health index;
battery health ... See more keywords
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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3216594
Abstract: An accurate and reliable technique to predict rechargeable battery health proves helpful in battery-operated, low-resourced industrial IoT devices. The existing data-driven battery health prediction techniques often require a comparatively large amount of computational power for…
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Keywords:
health;
soh;
prediction;
battery health ... See more keywords
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Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3548227
Abstract: Battery health monitoring is crucial for ensuring maintenance reliability and safety, with broad applications in various industrial systems. Data-driven state-of-health (SOH) estimation methods can perform excellently using massive historical data without prior physical knowledge. In…
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Keywords:
battery;
gated recurrent;
battery health;
health monitoring ... See more keywords
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Published in 2020 at "Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering"
DOI: 10.1177/0954407020924285
Abstract: The problem of battery health coupled with energy management brings a considerable challenge to the hybrid electric bus. To address this challenge, three contributions are made to realize optimal energy management control while prolonging battery…
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Keywords:
battery health;
battery;
energy management;
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Published in 2025 at "Batteries"
DOI: 10.3390/batteries11010014
Abstract: The rapid adoption of electric vehicles (EVs) has increased the demand for efficient methods to assess the state of health (SoH) of lithium-ion batteries (LIBs). Accurate and prompt evaluations are essential for safety, battery life…
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Keywords:
battery;
battery health;
acoustic emission;
health monitoring ... See more keywords