Anion Shuttle Battery - Honda Research Institute USA

Anion Shuttle Battery

Anion Shuttle Battery

The development of the next generation green and safe batteries with high energy density is highly desirable for meeting the rapidly growing needs of electrical vehicles.

​Batteries for use in vehicle applications must be safe and ideally have high energy densities.  Currently, Lithium Ion Batteries are being used for vehicle electrification; however, safety issues and limited potential for increasing energy density (driving range) remain problematic.  Unfortunately, increasing energy density through the use of  Li-metal anodes or high energy density cathode materials increases safety issues.  The development of next generation safe batteries with high energy densities is desired.  Anion Shuttle Batteries represent one possible chemistry to achieve good safety with high energy density.  Batteries based on anionic charge carriers have the potential to generate multiple electron transfers for a given metallic electrode and eliminate the formation of dangerous metallic dendrites observed in cation based chemistries.  Our research goal is to understand the feasibility and practicality of anion shuttle based battery chemistries as they pertain to vehicle applications.

Publications

Open Journal Vehicular Technology 2024 2025
Samuel Thornton, Nithin Santhanam, Rajeev Chhajer, Sujit Dey
IEEE Conference on Decision and Control (CDC) 2024
Sooyung Byeon, Danyang Tian, Jackie Ayoub, Miao Song, Ehsan Moradi Pari, Inseok Hwang
Neural Information Processing Systems (NeurIPS), 2024. 2024
Seunggeun Chi, Pin-Hao Huang, Enna Sachdeva, Hengbo Ma, Karthik Ramani, Kwonjoon Lee
NeurIPS 2024 2024
Huao Li, Hossein Nourkhiz Mahjoub, Behdad Chalaki, Vaishnav Tadiparthi, Kwonjoon Lee, Ehsan Moradi-Pari, Charles Michael Lewis, Katia P. Sycara
Robotics and Automation Letters (RA-L) 2024
Jinning Li, Jiachen Li, Sangjae Bae, and David Isele
Conference on Robot Learning (CoRL) 2024 Learning Robot Fine and Dexterous Manipulation Workshop 2024
Thomas Power, Abhinav Kumar, Fan Yang, Sergio Aguilera Marinovic, Soshi Iba, Rana Soltani Zarrin, Dmitry Berenson
Empirical Methods in Natural Language Processing (EMNLP 2024) 2024
Muhan Lin, Shuyang Shi, Yue Guo, Behdad Chalaki, Vaishnav Tadiparthi, Simon Stepputtis, Joseph Campbell, Katia P. Sycara, Ehsan Moradi-Pari
Frontiers in Robotics and Automation 2024
Hifza Javed, Weinan Wang, Affan Bin Usman, and Nawid Jamali
International Journal on Robotics Research 2024
Muchen Sun, Francesca Baldini, Pete Trautman, Todd Murphey
Robotics and Automation Letters (RA-L) 2024
Mansur M. Arief, Mike Timmerman, Jiachen Li, David Isele, and Mykel J. Kochenderfer
Nat. Commun. 15, 10080 (2024) 2024
Xufan Li, Samuel Wyss, Emanuil Yanev, Qing-Jie Li, Shuang Wu, Yongwen Sun, Raymond R. Unocic, Joseph Stage, Matthew Strasbourg, Lucas M. Sassi, Yingxin Zhu, Ju Li, Yang Yang, James Hone, Nicholas Borys, P. James Schuck, Avetik R. Harutyunyan
NeurIPS 2024 Workshop Open-World Agents 2024
Nikki_Lijing_Kuang, Songpo Li, Soshi Iba
Intelligent Robots and Systems (IROS) 2024
Hongyu Li, Snehal Dikhale, Jinda Cui, Soshi Iba, and Nawid Jamali
IROS 2024 2024
Viet-Anh Le​, Vaishnav Tadiparthi, Behdad Chalaki,​ Hossein Nourkhiz Mahjoub, Jovin D’sa, Ehsan Moradi-Pari​
arXiv preprint arXiv:2409.09415 (2024) 2024
Lingo, Ryan, Martin Arroyo, and Rajeev Chhajer
Conference on Robot Learning (CoRL) 2024
Patrick Naughton, Jinda Cui, Karankumar Patel, and Soshi Iba
European Conference on Computer Vision (ECCV), 2024 2024
Yuchen Yang, Kwonjoon Lee, Behzad Dariush, Yinzhi Cao, Shao-Yuan Lo
European Conference on Computer Vision (ECCV), 2024 2024
Seunggeun Chi, Hyung-gun Chi, Hengbo Ma, Nakul Agarwal, Faizan Siddiqui, Karthik Ramani, Kwonjoon Lee
European Conference on Computer Vision (ECCV), 2024 2024
Shijie Wang, Qi Zhao, Minh Quan Do, Nakul Agarwal, Kwonjoon Lee, Chen Sun