We are pleased to share the following 12 papers with excellent graphical abstracts published in Batteries (ISSN: 2313-0105). These papers were selected as they were of particular interest and importance to our readers and well received by researchers in Q3 of 2024. It is therefore believed that they will continue to capture readers’ attention and provide invaluable opportunities for follow-up research. We hope you will find something of interest among these exceptional publications.

1. “Selective Separation of Lithium from Leachate of Spent Lithium-Ion Batteries by Zirconium Phosphate/Polyacrylonitrile Composite: Leaching and Sorption Behavior”
by Baffa Haruna, Zhongyan Luo, Mujtaba Aminu Muhammad, Jinfeng Tang, Jukka Kuva, Risto Koivula, Hongli Bao and Junhua Xu
Batteries 2024, 10(7), 254; https://doi.org/10.3390/batteries10070254
Available online: https://www.mdpi.com/2313-0105/10/7/254

2. “Environmental Aspects and Recycling of Solid-State Batteries: A Comprehensive Review”
by Abniel Machín, María C. Cotto, Francisco Díaz, José Duconge, Carmen Morant and Francisco Márquez
Batteries 2024, 10(7), 255; https://doi.org/10.3390/batteries10070255
Available online: https://www.mdpi.com/2313-0105/10/7/255

3. “Review of Lithium-Ion Battery Internal Changes Due to Mechanical Loading”
by Maria Cortada-Torbellino, David Garcia Elvira, Abdelali El Aroudi and Hugo Valderrama-Blavi
Batteries 2024, 10(7), 258; https://doi.org/10.3390/batteries10070258
Available online: https://www.mdpi.com/2313-0105/10/7/258

4. “Binders for Li-Ion Battery Technologies and Beyond: A Comprehensive Review”
by Muskan Srivastava, Anil Kumar M. R. and Karim Zaghib
Batteries 2024, 10(8), 268; https://doi.org/10.3390/batteries10080268
Available online: https://www.mdpi.com/2313-0105/10/8/268

5. “A Physics–Guided Machine Learning Approach for Capacity Fading Mechanism Detection and Fading Rate Prediction Using Early Cycle Data”
by Jiwei Yao, Qiang Gao, Tao Gao, Benben Jiang and Kody M. Powell
Batteries 2024, 10(8), 283; https://doi.org/10.3390/batteries10080283
Available online: https://www.mdpi.com/2313-0105/10/8/283

6. “Advancements and Challenges in Perovskite-Based Photo-Induced Rechargeable Batteries and Supercapacitors: A Comparative Review”
by Anil Kumar M. R., Atiyeh Nekahi, Mohamed Djihad Bouguern, Dongling Ma and Karim Zaghib
Batteries 2024, 10(8), 284; https://doi.org/10.3390/batteries10080284
Available online: https://www.mdpi.com/2313-0105/10/8/284

7. “Life Cycle Assessment and Costing of Large-Scale Battery Energy Storage Integration in Lombok’s Power Grid”
by Mohammad Hemmati, Navid Bayati and Thomas Ebel
Batteries 2024, 10(8), 295; https://doi.org/10.3390/batteries10080295
Available online: https://www.mdpi.com/2313-0105/10/8/295

8. “Anion Intercalation/De-Intercalation Mechanism Enabling High Energy and Power Densities of Lithium-Ion Capacitors”
by Yang Zhang, Junquan Lao and Ping Xiao
Batteries 2024, 10(9), 296; https://doi.org/10.3390/batteries10090296
Available online: https://www.mdpi.com/2313-0105/10/9/296

9. “Improving Lithium-Ion Battery Performance: Nano Al₂O₃ Coatings on High-Mass Loading LiFePO₄ Cathodes via Atomic Layer Deposition”
by Pejman Salimi, Gloria Gottardi, William G. Morais, Ruben Bartali, Nadhira Laidani and Edoardo Gino Macchi
Batteries 2024, 10(9), 304; https://doi.org/10.3390/batteries10090304
Available online: https://www.mdpi.com/2313-0105/10/9/304

10. “A Review on Design Parameters for the Full-Cell Lithium-Ion Batteries”
by Faizan Ghani, Kunsik An and Dongjin Lee
Batteries 2024, 10(10), 340; https://doi.org/10.3390/batteries10100340
Available online: https://www.mdpi.com/2313-0105/10/10/340

11. “Enhanced Electrochemical Performance of Lithium Iron Phosphate Cathodes Using Plasma-Assisted Reduced Graphene Oxide Additives for Lithium-Ion Batteries”
by Suk Jekal, Chan-Gyo Kim, Jiwon Kim, Ha-Yeong Kim, Yeon-Ryong Chu, Yoon-Ho Ra, Zambaga Otgonbayar and Chang-Min Yoon
Batteries 2024, 10(10), 345; https://doi.org/10.3390/batteries10100345
Available online: https://www.mdpi.com/2313-0105/10/10/345

12. “A Comprehensive Flow–Mass–Thermal–Electrochemical Coupling Model for a VRFB Stack and Its Application in a Stack Temperature Control Strategy”
by Chen Yin, Mengyue Lu, Qiang Ma, Huaneng Su, Weiwei Yang and Qian Xu
Batteries 2024, 10(10), 347; https://doi.org/10.3390/batteries10100347
Available online: https://www.mdpi.com/2313-0105/10/10/347