A review on the key issues of the lithium ion battery degradation among the whole life cycle
The lithium ion battery is widely used in electric vehicles (EV). The battery degradation is the
key scientific problem in battery research. The battery aging limits its energy storage and …
key scientific problem in battery research. The battery aging limits its energy storage and …
Battery capacity estimation using 10-second relaxation voltage and a convolutional neural network
G Fan, X Zhang - Applied Energy, 2023 - Elsevier
Accurate and reliable battery capacity estimation has been a key challenge to technology
advancement of safety–critical systems such as electric vehicles and stationary energy …
advancement of safety–critical systems such as electric vehicles and stationary energy …
[PDF][PDF] 基于电化学模型的锂离子电池荷电状态估计方法综述
武龙星， 庞辉， 晋佳敏， 耿院飞， 刘凯 - 电工技术学报, 2022 - dgjsxb.ces-transaction.com
摘要荷电状态(SOC) 的准确估计是电池管理系统的重要功能之一. 当前, 基于模型的方法是实现
锂离子电池SOC 估计最常用的解决方案. 相比于等效电路模型(ECM), 由于电化学模型(EM) …
锂离子电池SOC 估计最常用的解决方案. 相比于等效电路模型(ECM), 由于电化学模型(EM) …
Dynamic Networks of Cellulose Nanofibrils Enable Highly Conductive and Strong Polymer Gel Electrolytes for Lithium‐Ion Batteries
Tunable dynamic networks of cellulose nanofibrils (CNFs) are utilized to prepare high‐
performance polymer gel electrolytes. By swelling an anisotropically dewatered, but never …
performance polymer gel electrolytes. By swelling an anisotropically dewatered, but never …
Evaluation and observability analysis of an improved reduced-order electrochemical model for lithium-ion battery
The accurate modeling of lithium-ion battery is helpful for deserves developing advanced
battery management system (BMS) and monitoring battery states. Despite the …
battery management system (BMS) and monitoring battery states. Despite the …
A comparative study between physics, electrical and data driven lithium-ion battery voltage modeling approaches
This paper benchmarks three different lithium-ion (Li-ion) battery voltage modelling
approaches, a physics-based approach using an Extended Single Particle Model (ESPM) …
approaches, a physics-based approach using an Extended Single Particle Model (ESPM) …
Model predictive control of Lithium-ion batteries: Development of optimal charging profile for reduced intracycle capacity fade using an enhanced single particle model …
Recently, given the high demand of electric vehicles, the implementation of a battery
management system (BMS) for efficient energy use, safety, and state of health estimation …
management system (BMS) for efficient energy use, safety, and state of health estimation …
Fast identification of micro-health parameters for retired batteries based on a simplified P2D model by using padé approximation
J Xu, C Sun, Y Ni, C Lyu, C Wu, H Zhang, Q Yang… - Batteries, 2023 - mdpi.com
Better performance consistency of regrouped batteries retired from electric vehicles can
guarantee the residual value maximized, which greatly improves the second-use application …
guarantee the residual value maximized, which greatly improves the second-use application …
A capacity prediction framework for lithium-ion batteries using fusion prediction of empirical model and data-driven method
The empirical model is an open-loop model for battery capacity prediction, which faces the
general problem of parameter mismatch. The data-driven method can realize the closed …
general problem of parameter mismatch. The data-driven method can realize the closed …
Interface engineering with nonsacrificial perfluorinated-anion additives for boosting the kinetics of lithium-ion batteries
H Kim, TH Kim, W Kim, SS Park… - ACS Applied Materials & …, 2023 - ACS Publications
Though lithium-ion batteries (LIBs) have seen a meteoric rise in worldwide deployment over
the last decade, they should be further advanced in constant demand of higher rate …
the last decade, they should be further advanced in constant demand of higher rate …