Results 121 to 130 of about 5,384 (264)

Vision-powered generative paradigm for robust battery health prediction in real-world electric vehicles. [PDF]

Innovation (Camb)
Fei Z, Li M, Zhang Z, Tsui KL.
europepmc   +1 more source

Calendering‐Dependent Electrochemical and Cost‐Energy Tradeoffs in Layered – Olivine Blend Cathodes

Advanced Energy Materials, EarlyView.
Blends comprised of LiNi0.9Mn0.05Co0.05O2 (NMC) and LiMn0.7Fe0.3PO4 (LMFP) are investigated to assess the performance – cost tradeoffs. Their rate‐capability benefit is retained only under uncalendered‐to‐moderately calendered states. Although blends reduce voltage decay and improve energy retention, they do not deliver measureable improvement in ...
Huyen T. K. Nguyen, Arumugam Manthiram
wiley   +1 more source

Electric Vehicle Powered by AA Batteries

The Journal of The Institute of Electrical Engineers of Japan, 2009
openaire   +2 more sources

Alkoxyethyl Acetate Electrolytes for High‐Voltage Lithium Metal Batteries

Angewandte Chemie, EarlyView.
We designed a fluorinated alkoxyethyl acetate solvent for high‐voltage Li‖NMC811 batteries. Introducing a carbonyl group disrupts symmetric bidentate solvation, while terminal fluorination enhances high‐voltage stability and reversible Li plating/stripping. The tailored solvation promotes a robust cathode electrolyte interphase, substantially extending
Xinlin Li, Xianyang Wu, Xueping Qin, Sapna L. Ramesh, Hasnain Hafiz, Jeffrey Lopez, Changzhi Ai, Matthew Li, Rachid Amine, Meinan He, Chi‐Cheung Su, Khalil Amine   +11 more
wiley   +2 more sources

An intelligent controlling in electric vehicle system with integrated DBS and BMS for sustainable solution. [PDF]

Sci Rep
Prashant, Verma G, Virmani R, Singh RM, Pachauri S, Singh J, Singh B.   +6 more
europepmc   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Design and Evaluation of an Edge AI-Enabled Low-Power Magnetic Sensor for Real-Time Road Traffic Monitoring. [PDF]

Sensors (Basel)
Hodoň M, Šarafín P, Formanek L, Kociánová A.   +3 more
europepmc   +1 more source

Extending Battery Usage Time of a Heavy‐Duty Mecanum‐Wheeled Autonomous Electric Vehicle Used in Iron–Steel Industry by Considering Wheel Slippage

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar, Goktug Hambarci, Ali Sezai Demirel   +2 more
wiley   +1 more source

Techno-economic and policy analysis of solar-wind powered EV charging for sustainable E-mobility. [PDF]

Sci Rep
Yadav AK, Singh V, Yadav V, Khargotra R, Singh T.   +4 more
europepmc   +1 more source

From Swarm to Individual: Emergent Individuality in Light‐Mediated Robot Collectives

Advanced Intelligent Systems, EarlyView.
Can individuality emerge from a swarm? Using nominally homogeneous phototactic robots, we show that collective light conditions reorganize robot‐level behavioral profiles. Global illumination amplifies persistent differences in state occupancy, while robot‐mounted local light cues reduce fixed differentiation and favor transient high‐switching profiles.
John Smith, Atsushi Masumori, Norihiro Maruyama, Takahide Yoshida, Takashi Ikegami   +4 more
wiley   +1 more source