Critical Analysis of Simulation of Misalignment in Wireless Charging of Electric Vehicles Batteries

S Ghazizadeh, K Ahmed, M Seyedmahmoudian… - Batteries, 2023 - mdpi.com
The transition from conventional to electric transportation has become inevitable in recent
years owing to the significant impact of electric vehicles (EVs) on energy sustainability …

Fractional-order sliding-mode observers for the estimation of state-of-charge and state-of-health of lithium batteries

M Zhou, K Wei, X Wu, L Weng, H Su, D Wang, Y Zhang… - Batteries, 2023 - mdpi.com
Lithium batteries are widely used in power storage and new energy vehicles due to their
high energy density and long cycle life. The accurate and real-time estimation for the state-of …

Enhancing electric vehicle charging performance through series-series topology resonance-coupled wireless power transfer

N Benalia, I Benlaloui, K Laroussi, A Elkhateb… - Plos one, 2024 - journals.plos.org
The current electric vehicles (EVs) market is experiencing significant expansion,
underscoring the need to address challenges associated with the limited driving range of …

Improvement of cycle stability for graphite-based lithium-ion batteries via usage of phenyl methanesulfonate as an electrolyte additive

B Mosallanejad, M Javanbakht, Z Shariatinia, M Akrami - Batteries, 2022 - mdpi.com
In this work, phenyl methanesulfonate (PMS) is evaluated as an additive to enhance the
cyclic stability of lithium-ion batteries (LIBs) based on a graphite electrode. According to the …

Impact of Multiple Module Collectors on the Cell Current Distribution within the Battery Pack

Z Yu, Z Sun, L Chang, C Ma, C Li, H Li, C Luan… - Batteries, 2023 - mdpi.com
Lithium-ion batteries are usually connected in series and parallel to form a pack for meeting
the voltage and capacity requirements of energy storage systems. However, different pack …

A Health Assessment Method for Lithium-Ion Batteries Based on Evidence Reasoning Rules with Dynamic Reference Values

Z Yang, X Zhao, H Zhang - Batteries, 2024 - mdpi.com
The health assessment of lithium-ion batteries holds great research significance in various
areas such as battery management systems, battery usage and maintenance, and battery …

Deep Learning-Based Battery Voltage Forecasting Using Current as Input: A Multi-Stage Approach for Time Series Prediction

MR Niakan, SS Madani… - 2024 IEEE 6th International …, 2024 - ieeexplore.ieee.org
This paper introduces a novel approach for forecasting the voltage of the battery by learning
the deep neural networks, based on leveraging the concurrent battery current as an input …

[引用][C] An Optimization-based technique for modeling lithium-ion batteries

SS Madani, C Ziebert