Announcements

We are pleased to share some highly cited papers on battery safety that were published in Batteries (ISSN: 2313-0105) in 2021 and 2022.

1. “In-Situ Tools Used in Vanadium Redox Flow Battery Research—Review”
by Purna C. Ghimire, Arjun Bhattarai, Tuti M. Lim, Nyunt Wai, Maria Skyllas-Kazacos and Qingyu Yan
Batteries 2021, 7(3), 53; https://doi.org/10.3390/batteries7030053
Available online: https://www.mdpi.com/2313-0105/7/3/53

2. “Modelling and Estimation of Vanadium Redox Flow Batteries: A Review”
by Thomas Puleston, Alejandro Clemente, Ramon Costa-Castelló and Maria Serra
Batteries 2022, 8(9), 121; https://doi.org/10.3390/batteries8090121
Available online: https://www.mdpi.com/2313-0105/8/9/121

3. “Electric Vehicle Battery Health Expected at End of Life in the Upcoming Years Based on UK Data”
by Lluc Canals Casals, Maite Etxandi-Santolaya, Pere Antoni Bibiloni-Mulet, Cristina Corchero and Lluis Trilla
Batteries 2022, 8(10), 164; https://doi.org/10.3390/batteries8100164
Available online: https://www.mdpi.com/2313-0105/8/10/164

4. “Influence of Aging on the Failing Behavior of Automotive Lithium-Ion Batteries”
by Christiane Essl, Andrey W. Golubkov and Anton Fuchs
Batteries 2021, 7(2), 23; https://doi.org/10.3390/batteries7020023
Available online: https://www.mdpi.com/2313-0105/7/2/23

5. “Early Detection of Failing Automotive Batteries Using Gas Sensors”
by Christiane Essl, Lauritz Seifert Michael Rabe and Anton Fuchs
Batteries 2021, 7(2), 25; https://doi.org/10.3390/batteries7020025
Available online: https://www.mdpi.com/2313-0105/7/2/25

6. “Thermal Conductivity in Aged Li-Ion Cells under Various Compression Conditions and State-of-Charge”
by Georgi Kovachev, Andrea Astner, Gregor Gstrein, Luigi Aiello, Johann Hemmer, Wolfgang Sinz and Christian Ellersdorfer
Batteries 2021, 7(3), 42; https://doi.org/10.3390/batteries7030042
Available online: https://www.mdpi.com/2313-0105/7/3/42

7. “Comparison of Model-Based and Sensor-Based Detection of Thermal Runaway in Li-Ion Battery Modules for Automotive Application”
by Jacob Klink, André Hebenbrock, Jens Grabow, Nury Orazov, Ulf Nylén Ralf Benger and Hans-Peter Beck
Batteries 2022, 8(4), 34; https://doi.org/10.3390/batteries8040034
Available online: https://www.mdpi.com/2313-0105/8/4/34

8. “Understanding Voltage Behavior of Lithium-Ion Batteries in Electric Vehicles Applications”
by Foad H. Gandoman, Adel El-Shahat, Zuhair M. Alaas, Ziad M. Ali, Maitane Berecibar and Shady H. E. Abdel Aleem
Batteries 2022, 8(10), 130; https://doi.org/10.3390/batteries8100130
Available online: https://www.mdpi.com/2313-0105/8/10/130

9. “State of Charge Estimation of Lithium-Ion Battery for Electric Vehicles under Extreme Operating Temperatures Based on an Adaptive Temporal Convolutional Network”
by Jiazhi Miao, Zheming Tong, Shuiguang Tong, Jun Zhang and Jiale Mao
Batteries 2022, 8(10), 145; https://doi.org/10.3390/batteries8100145
Available online: https://www.mdpi.com/2313-0105/8/10/145

10. “A Review of Lithium-Ion Battery Failure Hazards: Test Standards, Accident Analysis, and Safety Suggestions”
by Xin Lai, Jian Yao, Changyong Jin, Xuning Feng, Huaibin Wang, Chengshan Xu and Yuejiu Zheng
Batteries 2022, 8(11), 248; https://doi.org/10.3390/batteries8110248
Available online: https://www.mdpi.com/2313-0105/8/11/248

11. “Electric Vehicle Batteries: Status and Perspectives of Data-Driven Diagnosis and Prognosis”
by Jingyuan Zhao and Andrew F. Burke
Batteries 2022, 8(10), 142; https://doi.org/10.3390/batteries8100142
Available online: https://www.mdpi.com/2313-0105/8/10/142

12. “Aqueous Rechargeable Sodium-Ion Batteries: From Liquid to Hydrogel”
by Mingrui Yang, Jun Luo, Xiaoniu Guo, Jiacheng Chen, Yuliang Cao and Weihua Chen
Batteries 2022, 8(10), 180; https://doi.org/10.3390/batteries8100180
Available online: https://www.mdpi.com/2313-0105/8/10/180

13. “Perovskite Solid-State Electrolytes for Lithium Metal Batteries”
by Shuo Yan, Chae-Ho Yim, Vladimir Pankov, Mackenzie Bauer, Elena Baranova, Arnaud Weck, Ali Merati and Yaser Abu-Lebdeh
Batteries 2021, 7(4), 75; https://doi.org/10.3390/batteries7040075
Available online: https://www.mdpi.com/2313-0105/7/4/75

14. “SOC, SOH and RUL Estimation for Supercapacitor Management System: Methods, Implementation Factors, Limitations and Future Research Improvements “
by Afida Ayob, Shaheer Ansari, Mohamad Hanif Md Saad, Aini Hussain and Molla Shahadat Hossain Lipu
Batteries 2022, 8(10), 189; https://doi.org/10.3390/batteries8100189
Available online: https://www.mdpi.com/2313-0105/8/10/189

15. “Calendar Aging of Li-Ion Cells—Experimental Investigation and Empirical Correlation”
by Daniel Werner, Sabine Paarmann and Thomas Wetzel
Batteries 2021, 7(2), 28; https://doi.org/10.3390/batteries7020028
Available online: https://www.mdpi.com/2313-0105/7/2/28

16. “Lithium Silicates in Anode Materials for Li-Ion and Li Metal Batteries”
by Yu-Sheng Su, Kuang-Che Hsiao, Pedaballi Sireesha and Jen-Yen Huang
Batteries 2022, 8(1), 2; https://doi.org/10.3390/batteries8010002
Available online: https://www.mdpi.com/2313-0105/8/1/2

17. “Online State-of-Health Estimation of Lithium-Ion Battery Based on Incremental Capacity Curve and BP Neural Network”
by Hongye Lin, Longyun Kang, Di Xie, Jinqing Linghu and Jie Li
Batteries 2022, 8(4), 29; https://doi.org/10.3390/batteries8040029
Available online: https://www.mdpi.com/2313-0105/8/4/29

18. “Optimized Nail for Penetration Test on Lithium-Ion Cells and Its Utilization for the Validation of a Multilayer Electro-Thermal Model”
by Luigi Aiello, Gregor Gstrein, Simon Erker, Bernhard Kaltenegger, Christian Ellersdorfer and Wolfgang Sinz
Batteries 2022, 8(4), 32; https://doi.org/10.3390/batteries8040032
Available online: https://www.mdpi.com/2313-0105/8/4/32

19. “Characteristics of Open Circuit Voltage Relaxation in Lithium-Ion Batteries for the Purpose of State of Charge and State of Health Analysis”
by David Theuerkauf and Lukas Swan
Batteries 2022, 8(8), 77; https://doi.org/10.3390/batteries8080077
Available online: https://www.mdpi.com/2313-0105/8/8/77

20. “Study on Thermal Runaway Behavior of Li-Ion Batteries Using Different Abuse Methods”
by Dan Wei, Mengqi Zhang, Linpei Zhu, Hu Chen, Wensheng Huang, Jian Yao, Zhuchen Yuan, Chengshan Xu and Xuning Feng
Batteries 2022, 8(11), 201; https://doi.org/10.3390/batteries8110201
Available online: https://www.mdpi.com/2313-0105/8/11/201

21. “Physics-Based SoH Estimation for Li-Ion Cells”
by Pietro Iurilli, Claudio Brivio, Rafael E. Carrillo and Vanessa Wood
Batteries 2022, 8(11), 204; https://doi.org/10.3390/batteries8110204
Available online: https://www.mdpi.com/2313-0105/8/11/204

22. “Reducing the Computational Cost for Artificial Intelligence-Based Battery State-of-Health Estimation in Charging Events”
by Alessandro Falai, Tiziano Alberto Giuliacci, Daniela Anna Misul and Pier Giuseppe Anselma
Batteries 2022, 8(11), 209; https://doi.org/10.3390/batteries8110209
Available online: https://www.mdpi.com/2313-0105/8/11/209

23. “Estimate e-Golf Battery State Using Diagnostic Data and a Digital Twin”
by Lukas Merkle, Michael Pöthig and Florian Schmid
Batteries 2021, 7(1), 15; https://doi.org/10.3390/batteries7010015
Available online: https://www.mdpi.com/2313-0105/7/1/15

24. “Study of SOC Estimation by the Ampere-Hour Integral Method with Capacity Correction Based on LSTM”
by Xin Zhang, Jiawei Hou, Zekun Wang and Yueqiu Jiang
Batteries 2022, 8(10), 170; https://doi.org/10.3390/batteries8100170
Available online: https://www.mdpi.com/2313-0105/8/10/170