Multiscale Modelling Methodologies of Lithium-Ion Battery Aging: A Review of Most Recent Developments

MA Ali, CM Da Silva, CH Amon - Batteries, 2023 - mdpi.com
Lithium-ion batteries (LIBs) are leading the energy storage market. Significant efforts are
being made to widely adopt LIBs due to their inherent performance benefits and reduced …

State of health assessment for lithium-ion batteries using incremental energy analysis and bidirectional long short-term memory

Y Li, L Luo, C Zhang, H Liu - World Electric Vehicle Journal, 2023 - mdpi.com
The state of health (SOH) of a lithium ion battery is critical to the safe operation of such
batteries in electric vehicles (EVs). However, the regeneration phenomenon of battery …

A Deep Learning Approach for State-of-Health Estimation of Lithium-Ion Batteries Based on a Multi-Feature and Attention Mechanism Collaboration

B Zou, M Xiong, H Wang, W Ding, P Jiang, W Hua… - Batteries, 2023 - mdpi.com
Safety issues are one of the main limitations for further application of lithium-ion batteries,
and battery degradation is an important causative factor. However, current state-of-health …

Remaining Useful Life Prediction of Lithium-Ion Batteries Based on a Cubic Polynomial Degradation Model and Envelope Extraction

K Su, B Deng, S Tang, X Sun, P Fang, X Si, X Han - Batteries, 2023 - mdpi.com
Remaining useful life (RUL) prediction has become one of the key technologies for reducing
costs and improving safety of lithium-ion batteries. To our knowledge, it is difficult for existing …

Mathematical modeling of battery degradation based on direct measurements and signal processing methods

J de la Vega, JR Riba, JA Ortega-Redondo - Applied Sciences, 2023 - mdpi.com
This paper proposes and evaluates the behavior of a new health indicator to estimate the
capacity fade of lithium-ion batteries and their state of health (SOH). This health indicator is …

A novel methodology based on a deep neural network and data mining for predicting the segmental voltage drop in automated guided vehicle battery cells

O Pavliuk, R Cupek, T Steclik, M Medykovskyy… - Electronics, 2023 - mdpi.com
AGVs are important elements of the Industry 4.0 automation process. The optimization of
logistics transport in production environments depends on the economical use of battery …

Sizing Optimization of a Photovoltaic Hybrid Energy Storage System Based on Long Time-Series Simulation Considering Battery Life

Y Liu, Y Zhong, C Tang - Applied Sciences, 2023 - mdpi.com
An energy storage system works in sync with a photovoltaic system to effectively alleviate
the intermittency in the photovoltaic output. Owing to its high power density and long life …

Remaining useful life prediction of high-capacity lithium-ion batteries based on incremental capacity analysis and Gaussian kernel function optimization

Y Tang, S Zhong, P Wang, Y Zhang, Y Wang - Scientific Reports, 2024 - nature.com
Remaining useful life (RUL) is a key indicator for assessing the health status of lithium (Li)-
ion batteries, and realizing accurate and reliable RUL prediction is crucial for the proper …

Direct-drive electro-hydraulic servo valve performance characteristics prediction based on big data and neural networks

J Mi, J Yu, G Huang - Sensors, 2023 - mdpi.com
Direct-drive electro-hydraulic servo valves play a key role in aerospace control systems, and
their operational stability and safety reliability are crucial to the safety, stability, and efficiency …

Modeling Battery Energy Storage Systems Based on Remaining Useful Lifetime through Regression Algorithms and Binary Classifiers

R Gilbert Zequera, V Rjabtšikov, A Rassõlkin… - Applied Sciences, 2023 - mdpi.com
This research work implements an initial methodology for the assessment of Battery Energy
Storage Systems (BESSs) based on Remaining Useful Lifetime (RUL), and its main …