scholarly journals Fast Electrical Characterizations of High-Energy Second Life Lithium-Ion Batteries for Embedded and Stationary Applications

Batteries ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 33 ◽  
Author(s):  
Honorat Quinard ◽  
Eduardo Redondo-Iglesias ◽  
Serge Pelissier ◽  
Pascal Venet
Keyword(s):  
Lithium Ion Batteries ◽  
Second Life ◽  
Electrical Characterization ◽  
Lithium Ion ◽  
Health Indicators ◽  
Short Review ◽  
High Energy ◽  
State Of Health ◽  
A Cell ◽  
Aging Mechanisms

This paper focuses on the fast characterization of automotive second life lithium-ion batteries that have been recently re-used in many projects to create battery storages for stationary applications and sporadically for embedded applications. Specific criteria dedicated to the second life are first discussed. After a short review of the available state of health indicators and their associated determination techniques, some electrical characterization tests are explored through an experimental campaign. This offline identification aims to estimate the remaining ability of the battery to store energy. Twenty-four modules from six different commercial electric vehicles are analyzed. Well-known methodologies like incremental capacity analysis (ICA) and constant voltage phase analysis during CC-CV charge highlight the difficulty—and sometimes the impossibility—to apply traditional tools on a battery pack or on individual modules, in the context of real second life applications. Indeed, the diversity of the available second life batteries induces a combination of aging mechanisms that leads to a complete heterogeneity from a cell to another. Moreover, due to the unknown first life of the battery, typical state of health determination methodologies are difficult to use. A new generic technique based on a partial coulometric counter is proposed and compared to other techniques. In the present case study, the partial coulometric counter allows a fast determination of the capacity aging. In conclusion, future improvements and working tracks are addressed.

Sustainable and Low-Cost Lithium-Ion Batteries: Nonconventional Electrode Chemistries and State of Health Characterization

2021 ◽  
Author(s):  
Ruoxu Shang ◽  
Taner Zerrin ◽  
Bo Dong ◽  
Cengiz S. Ozkan ◽  
Mihrimah Ozkan
Keyword(s):  
Lithium Ion Batteries ◽  
Electrode Materials ◽  
Electrochemical Impedance ◽  
Accurate Determination ◽  
Lithium Ion ◽  
High Energy ◽  
Beach Sand ◽  
State Of Health ◽  
Sulfur Silicon ◽  
Material Sources

With the advancements in portable electronics and electric vehicle (EV) applications, the demand for lithium-ion batteries (LIBs) with high energy densities is ever increasing. Battery-powered transportation is being adopted more frequently due to its potential to enable a more sustainable society by reducing vehicle emissions from fossil fuels. There has been exponential growth in the need for high-capacity LIBs in all types of EVs, including hybrid and full electric automobiles, e-bikes, and drones, as well as electric tools, cell phones, tablets, and, more recently, house storage; this growth significantly increases the consumption of source material commodities,especially cobalt. Despite its drop in price in the last couple of years due to increased mining, cobalt remains expensive, and its price increase has gained momentum again compared toother electrode materials due to higher demand. Moreover, its toxicity and difficult mining practices could result in many problems, including excessive carbon dioxide and nitrogendioxide emission along with a possible much higher demand in the long term. This provides a strong motivation to explore alternatives to battery source materials. In this article, we present a selection of our important works on LIBs, with a focus on alternative electrode chemistries by using abundant and sustainable material sources. As alternatives to traditional graphite-based anodes, we demonstrate the successful use of both silicon electrodes derived from beach sand and waste glass and carbon electrodes derived from portobello mushroom and waste plastic precursors. In addition, we demonstrate stable cycling of batteries with nonconventional electrode chemistries, such as lithium-sulfur with TiO2-coated sulfur electrodes and sulfur-silicon full cell batteries with integrated lithium sources. Batteries prepared by sustainable methods not only perform better than conventional ones but also result in reduced costs. Since accurate determination of battery state of health is another important challenge, we further present our electrochemical impedance spectroscopy-based analysis of LIBs, which could potentially be utilized in safety evaluations of current and next-generation LIBs.

scholarly journals State of Health Prediction of Lithium-Ion Batteries Based on the Discharge Voltage and Temperature

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1497
Author(s):  
Yanru Yang ◽  
Jie Wen ◽  
Yuanhao Shi ◽  
Jianchao Zeng
Keyword(s):  
Lithium Ion Batteries ◽  
Health Management ◽  
Lithium Ion ◽  
Health Indicators ◽  
Relevance Vector Machine ◽  
Discharge Voltage ◽  
Discharge Process ◽  
Sigmoid Function ◽  
State Of Health ◽  
Novel Method

Accurate state of health (SOH) prediction of lithium-ion batteries is essential for battery health management. In this paper, a novel method of predicting the SOH of lithium-ion batteries based on the voltage and temperature in the discharging process is proposed to achieve the accurate prediction. Both the equal voltage discharge time and the temperature change during the discharge process are regarded as health indicators (HIs), and then, the Pearson and Spearman relational analysis methods are applied to evaluate the relevance between HIs and SOH. On this basis, we modify the relevance vector machine (RVM) to a multiple kernel relevance vector machine (MKRVM) by combining Gaussian with sigmoid function to improve the accuracy of SOH prediction. The particle swarm optimization (PSO) is used to find the optimal weight and kernel function parameters of MKRVM. The aging data from NASA Ames Prognostics Center of Excellence are used to verify the effectiveness and accuracy of the proposed method in numerical simulations, whose results show that the MKRVM method has higher SOH prediction accuracy of lithium-ion batteries than the relevant methods.

Ultra-high-energy lithium-ion batteries enabled by aligned structured thick electrode design

Rare Metals ◽  
2021 ◽  
Author(s):  
Chao-Chao Zhou ◽  
Zhi Su ◽  
Xin-Lei Gao ◽  
Rui Cao ◽  
Shi-Chun Yang ◽  
...  
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
High Energy ◽  
Electrode Design ◽  
Ultra High Energy ◽  
Thick Electrode

Dynamic overcharge investigations of lithium ion batteries with different state of health

2021 ◽  
Vol 507 ◽  
pp. 230262
Author(s):  
Lei Feng ◽  
Lihua Jiang ◽  
Jialong Liu ◽  
Zhaoyu Wang ◽  
Zesen Wei ◽  
...  
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
State Of Health

scholarly journals High-performance fiber-shaped lithium-ion batteries

2020 ◽  
Vol 92 (5) ◽  
pp. 767-772
Author(s):  
Ye Zhang
Keyword(s):  
Lithium Ion Batteries ◽  
High Performance ◽  
Recent Progress ◽  
Lithium Ion ◽  
Short Review ◽  
Fiber Architecture ◽  
Hybrid Fiber ◽  
High Performance Fiber ◽  
Wearable Products ◽  
Lithium Air Batteries

AbstractThis short review summarizes our recent progress in fiber-shaped lithium-ion batteries and lithium-air batteries based on carbon nanotube hybrid fiber electrodes. The fiber architecture allows batteries to be deformable in all dimensions and bear various deformations such as bending, tying, twisting and even stretching. They are scaled up and further woven into breathable, flexible, stretchable and shape-memory textiles to effectively meet the requirements of modern electronics such as wearable products.

Boosting Cycling Stability of Ni-rich Layered Oxide Cathode by Dry Coating of Ultrastable Li3V2(PO4)3 Nanoparticles

Nanoscale ◽  
2021 ◽  
Author(s):  
Dongdong Wang ◽  
Qizhang Yan ◽  
Mingqian Li ◽  
Hongpeng Gao ◽  
Jianhua Tian ◽  
...  
Keyword(s):  
Lithium Ion Batteries ◽  
Cathode Materials ◽  
Lithium Ion ◽  
High Energy ◽  
Cycling Stability ◽  
Next Generation ◽  
Layered Oxides ◽  
Dry Coating ◽  
Layered Oxide ◽  
Oxide Cathode

Nickel (Ni)-rich layered oxides such as LiNi0.6Co0.2Mn0.2O2 (NCM622) represent one of the most promising candidates for the next-generation high-energy lithium-ion batteries (LIBs). However, the pristine Ni-rich cathode materials usually suffer...

Battery-on-Separator: A platform technology for arbitrary-shaped lithium ion batteries for high energy density storage

2021 ◽  
Vol 490 ◽  
pp. 229527
Author(s):  
Min Wang ◽  
Wentao Yao ◽  
Peichao Zou ◽  
Shengyu Hu ◽  
Haojie Zhu ◽  
...  
Keyword(s):  
Energy Density ◽  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
High Energy ◽  
High Energy Density ◽  
Platform Technology
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