Development of a lifetime prediction model for lithium-ion batteries based on extended accelerated aging test data

Ecker, Madeleine; Gerschler, Jochen Bernhard; Vogel, Jan; Käbitz, Stefan; Hust, Friedrich; Dechent, Philipp; Sauer, Dirk Uwe

doi:10.1016/j.jpowsour.2012.05.012

Cited by 467 publications

(295 citation statements)

References 23 publications

Supporting

Mentioning

283

Contrasting

Unclassified

Order By: Relevance

“…E a (C) = 2.330 × 10 3 exp (1.337C) + 1.353 × 10 4 [3] Here, Q loss is the capacity loss, T is the absolute temperature in Kelvin, C is the discharge rate, n is the cycle number, A(C) is the pre-exponential factor, and E a (C) is the activation energy. Omar et al 16 also reported an exponential influence of discharge rate on the cycle life of the cylindrical 2.…”

mentioning

confidence: 99%

Impact of Temperature and Discharge Rate on the Aging of a LiCoO₂/LiNi_0.8Co_0.15Al_0.05O₂Lithium-Ion Pouch Cell

Keil

Schuster

et al. 2017

J. Electrochem. Soc.

View full text Add to dashboard Cite

This paper presents a lithium-ion battery aging study in which pouch cells comprising a LiCoO 2 /LiNi 0.8 Co 0.15 Al 0.05 O 2 blended cathode and a graphite anode are examined. The study focuses on the impact of temperature and discharge rate on the cycle life of the tested cells. Compared to the aging behavior of other lithium-ion cells in the literature, the cells tested here are less sensitive to the discharge rate but more vulnerable to low temperature cycling. The vulnerability to low temperature mainly comes from cathode degradation, especially of the LiCoO 2 component. This is identified by electrochemical impedance spectroscopy, differential voltage analysis and incremental capacity analysis. The cells are able to achieve 3000-5000 cycles before reaching a capacity fade of 20%, also at higher discharge rates up to 5C. All in all, the high discharge rate capability could be a general advantage of pouch cells due to less mechanical and thermal stress in their geometry. Furthermore, more attention should be paid to the cathode health in low temperature applications of lithium-ion cells containing layered oxides. This paper focuses mainly on non-invasive aging detection methods for lithium-ion cells. Post-mortem results will be published in a following paper.

show abstract

mentioning

confidence: 99%

Impact of Temperature and Discharge Rate on the Aging of a LiCoO₂/LiNi_0.8Co_0.15Al_0.05O₂Lithium-Ion Pouch Cell

Keil

Schuster

et al. 2017

J. Electrochem. Soc.

View full text Add to dashboard Cite

show abstract

“…These identified aspects can be linked to the capacity fade as presented in Eq.1. From literature, (Schmalstieg et al 2014), (Teodorescu et al 2013), (Delaille et al 2013), (Ecker et al 2012) the Li-ion battery lifetime equations are obtained (Eq.2), and considering the experimental data of these studies on specific Li-ion battery systems, which is the most common in EV batteries (Canals Casals and Amante García 2014), the parameters are determined (Eq.3). Hence, the battery lifetime can be predicted.…”

Section: Methodsmentioning

confidence: 99%

Second life of electric vehicle batteries: relation between materials degradation and environmental impact

Casals

García

Aguesse

et al. 2015

Int J Life Cycle Assess

122

View full text Add to dashboard Cite

Nowadays, the electric vehicle is one of the most promising alternatives for sustainable transportation. However, the battery, which is one of the most important components, is the main contributor to environmental impact and faces recycling issues. In order to reduce the carbon footprint and to minimize the overall recycling processes, this paper introduces the concept of re-use of electric vehicle batteries, analyzing some possible second-life applications.\ud Methods\ud First, the boundaries of the life cycle assessment of an electric vehicle are defined, considering the use of the battery in a second-life application. To perform the study, we present eight different scenarios for the second-life application. For each case, the energy, the efficiency, and the lifetime of the battery are calculated. Additionally, and based on the global warming potential, the environmental impact of the electric vehicle and its battery on a second-life application is determined for each scenario. Finally, an environmentally focused discussion on battery electrodes and research trends is presented.\ud Results and discussion\ud For the selected scenarios, the second life of the battery varies from 8 to 20 years depending on the application and the requirements. It has been observed that the batteries connected to the electricity grid for energy arbitrage storage have the highest impact per provided kilowatt hour. On the contrary, the environmental benefit comes from applications working with renewable energy sources and presenting a longer lifetime. We pointed out that a correlation between cycling conditions and degradation mechanisms of the electrode materials is compulsory for proper use of the electric vehicle battery in a second-life application.\ud Conclusions\ud To limit the environmental impact, batteries should be associated with renewable energy sources in stationary applications. However, it is more profitable to re-use Li-ion batteries than to use new lead-acid batteries. Although many batteries applied for electric vehicles use graphite-based anodes, the latter may not be the most suitable for the second-life application. A better understanding of Li-ion battery degradation during the second-life application is required for the different existing chemistries.Postprint (author's final draft

show abstract

“…Several models have been reported in literature, that are based on accelerated aging tests of cells. Whereas all models presented here, include calendaric degradation, the cyclic term does either not include SoC [23], [24] or does not include DoD [25], [26]. However, no model, to the best of our knowledge, exists that includes the current I, in terms of C-rate (a C-rate of 1 C corresponds to the current required to fully charge the battery within the time of one hour, e.g.…”

Section: Degradation Modelmentioning

confidence: 99%

Smart Data Selection and Reduction for Electric Vehicle Service Analytics

Schoch

Staudt

Setzer

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

View full text Add to dashboard Cite

Battery electric vehicles (BEV) are increasingly used in mobility services such as car-sharing. A severe problem with BEV is battery degradation, leading to a reduction of the already very limited range of a BEV. Analytic models are required to determine the impact of service usage to provide guidance on how to drive and charge and also to support service tasks such as predictive maintenance. However, while the increasing number of sensor data in automotive applications allows for more fine-grained model parameterization and better predictive outcomes, in practical settings the amount of storage and transmission bandwidth is limited by technical and economical considerations. By means of a simulation-based analysis, dynamic user behavior is simulated based on real-world driving profiles parameterized by different driver characteristics and ambient conditions. We find that by using a shrinked subset of variables the required storage can be reduced considerably at low costs in terms of only slightly decreased predictive accuracy.

show abstract

Development of a lifetime prediction model for lithium-ion batteries based on extended accelerated aging test data

Cited by 467 publications

References 23 publications

Impact of Temperature and Discharge Rate on the Aging of a LiCoO₂/LiNi_0.8Co_0.15Al_0.05O₂Lithium-Ion Pouch Cell

Impact of Temperature and Discharge Rate on the Aging of a LiCoO₂/LiNi_0.8Co_0.15Al_0.05O₂Lithium-Ion Pouch Cell

Second life of electric vehicle batteries: relation between materials degradation and environmental impact

Smart Data Selection and Reduction for Electric Vehicle Service Analytics

Contact Info

Product

Resources

About

Development of a lifetime prediction model for lithium-ion batteries based on extended accelerated aging test data

Cited by 467 publications

References 23 publications

Impact of Temperature and Discharge Rate on the Aging of a LiCoO2/LiNi0.8Co0.15Al0.05O2Lithium-Ion Pouch Cell

Impact of Temperature and Discharge Rate on the Aging of a LiCoO2/LiNi0.8Co0.15Al0.05O2Lithium-Ion Pouch Cell

Second life of electric vehicle batteries: relation between materials degradation and environmental impact

Smart Data Selection and Reduction for Electric Vehicle Service Analytics

Contact Info

Product

Resources

About

Impact of Temperature and Discharge Rate on the Aging of a LiCoO₂/LiNi_0.8Co_0.15Al_0.05O₂Lithium-Ion Pouch Cell

Impact of Temperature and Discharge Rate on the Aging of a LiCoO₂/LiNi_0.8Co_0.15Al_0.05O₂Lithium-Ion Pouch Cell