Electrochemical, Post-Mortem, and ARC Analysis of Li-Ion Cell Safety in Second-Life Applications

Well-known since the 18th century,hexacyanoferrate, or “Prussian blue”, is currently getting its “second life” as a promising material for Li-ion batteries and electrochromic devices.

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Post Mortem and Operando XPEEM: a Surface-Sensitive Tool for Studying Single Particles in Li-Ion Battery Composite Electrodes

Analytical Chemistry ◽

10.1021/acs.analchem.9b04124 ◽

2020 ◽

Vol 92 (4) ◽

pp. 3023-3031 ◽

Cited By ~ 3

Author(s):

Marta Mirolo ◽

Daniela Leanza ◽

Laura Höltschi ◽

Christian Jordy ◽

Vincent Pelé ◽

...

Keyword(s):

Post Mortem ◽

Composite Electrodes ◽

Li Ion Battery ◽

Single Particles ◽

Sensitive Tool ◽

Li Ion

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Cu Dissolution during Over-Discharge of Li-Ion Cells to 0 V: A Post-Mortem Study

Journal of The Electrochemical Society ◽

10.1149/1945-7111/abdc5f ◽

2021 ◽

Vol 168 (2) ◽

pp. 020506

Author(s):

Marius Flügel ◽

Michael Kasper ◽

Claudia Pfeifer ◽

Margret Wohlfahrt-Mehrens ◽

Thomas Waldmann

Keyword(s):

Post Mortem ◽

Li Ion ◽

Cu Dissolution

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Feasibility analysis of second life applications for Li-Ion cells used in electric powertrain using environmental indicators

2012 IEEE International Energy Conference and Exhibition (ENERGYCON) ◽

10.1109/energycon.2012.6348293 ◽

2012 ◽

Cited By ~ 22

Author(s):

Paolo Cicconi ◽

Daniele Landi ◽

Alessandro Morbidoni ◽

Michele Germani

Keyword(s):

Second Life ◽

Environmental Indicators ◽

Feasibility Analysis ◽

Li Ion

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The Effects of Lithium Sulfur Battery Ageing on Second-Life Possibilities and Environmental Life Cycle Assessment Studies

Energies ◽

10.3390/en12122440 ◽

2019 ◽

Vol 12 (12) ◽

pp. 2440 ◽

Cited By ~ 2

Author(s):

Deidre Wolff ◽

Lluc Canals Casals ◽

Gabriela Benveniste ◽

Cristina Corchero ◽

Lluís Trilla

Keyword(s):

Life Cycle Assessment ◽

Life Cycle ◽

Electric Vehicles ◽

Second Life ◽

Accelerated Ageing ◽

Li Ion Batteries ◽

Environmental Life Cycle Assessment ◽

Endurance Tests ◽

Li Ion ◽

Life Options

The development of Li-ion batteries has enabled the re-entry of electric vehicles into the market. As car manufacturers strive to reach higher practical specific energies (550 Wh/kg) than what is achievable for Li-ion batteries, new alternatives for battery chemistry are being considered. Li-Sulfur batteries are of interest due to their ability to achieve the desired practical specific energy. The research presented in this paper focuses on the development of the Li-Sulfur technology for use in electric vehicles. The paper presents the methodology and results for endurance tests conducted on in-house manufactured Li-S cells under various accelerated ageing conditions. The Li-S cells were found to reach 80% state of health after 300–500 cycles. The results of these tests were used as the basis for discussing the second life options for Li-S batteries, as well as environmental Life Cycle Assessment results of a 50 kWh Li-S battery.

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Thermal Runaway Modelling of Li-Ion Cells at Various States of Ageing with a Semi-Empirical Model Based on a Kinetic Equation

Batteries ◽

10.3390/batteries7040068 ◽

2021 ◽

Vol 7 (4) ◽

pp. 68

Author(s):

Mathilde Grandjacques ◽

Pierre Kuntz ◽

Philippe Azaïs ◽

Sylvie Genies ◽

Olivier Raccurt

Keyword(s):

Kinetic Equation ◽

Empirical Model ◽

Thermal Runaway ◽

Post Mortem ◽

Accelerating Rate Calorimeter ◽

Model Based ◽

Li Ion ◽

Semi Empirical

The thermal runaway model used is a semi-empirical model based on a kinetic equation, parametrised by three parameters (m,n,p). It is believed that this kinetic equation can describe any reaction. The choice of parameters is often made without justifications. We assumed it necessary to develop a method to select the parameters. The method proposed is based on data coming from an accelerating rate calorimeter (ARC) test. The method has been applied on data obtained for cells aged on different conditions. Thanks to a post-mortem analysis and simulations carried out using the parameters obtained, we have shown that the ageing mechanisms have a major impact on the parameters.

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