Results 141 to 150 of about 5,165 (263)

Optimized PI controller-based hybrid model for adaptive energy management in photovoltaic integrated electric vehicle charging microgrids. [PDF]

Sci Rep
Natarajan R, Selvaraj J, Daniel S, Azerefegn TM.   +3 more
europepmc   +1 more source

Ether‐Based Electrolytes and the Solvation Structure in Sodium Ion Batteries

Advanced Energy Materials, EarlyView.
Ether electrolytes enable high‐performance sodium‐ion batteries through their unique physicochemical properties, particularly distinctive solvation structures and co‐intercalation behavior. However, the localized solvation structure and its dynamic evolution during electrochemical processes remain a “black box”.
Jiaxin Ding, John T. S. Irvine
wiley   +1 more source

GRNN-DP-MPC Co-optimization for predictive energy management in hybrid UAVs. [PDF]

Sci Rep
Kan W, Chen S, Lei W, Ma C, Pan J.
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

Ionic Liquid Electrolytes for Extreme Temperature Conditions: Challenges and Perspective

Angewandte Chemie, EarlyView.
Ionic liquids (ILs) have gained great attention as safe electrolyte components in recent years. This review elucidates the temperature effects on IL‐based electrolytes from molecular configurations, physicochemical properties, and interfacial chemistry, raises the challenges and design strategies operating at low‐ and HT, providing valuable guidance ...
En Xie, Chengdong Liu, Xinghao Wang, Jian Wang, Zhen Chen, Huihua Li, Wenlong Cai, Hao Li, Yang Peng, Fanglin Wu, Stefano Passerini, Haolin Tang   +11 more
wiley   +2 more sources

Optimal control strategy for electric vehicle powered by PV arrays and battery using sliding mode control and linear quadratic regulator. [PDF]

Sci Rep
Gul BT, Rehman A, Sherazi HI, Alburidy A, Alsafrani A, Alrumayh O.   +5 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

Revisiting Coulombic Efficiency Paradigm: Electrolyte Additive Design for Lithium Metal Batteries

Angewandte Chemie, EarlyView.
Coulombic efficiency (CE) is a key metric for screening advanced electrolyte formulations for rechargeable batteries. Combined with interphasial characterizations, statistical analyses of CE data uncover the synergistic interaction between fluorinated additives and salt anions, enabling more precise correlations of chemical functionalities with ...
Qixin Wang, Jiaxun Yang, Pu Li, Kun Zhao, Xinxin Zhang, Bowen Zheng, Qiangfu Sun, Zhongyang Zhang, Wenfang Feng, Javier Carrasco, Hailong Yu, Gebrekidan Gebresilassie Eshetu, Egbert Figgemeier, Michel Armand, Xuejie Huang, Zhibin Zhou, Heng Zhang   +16 more
wiley   +2 more sources

Life cycle externalities and abatement costs of public transport electrification using fuel cell and battery electric buses in Putrajaya city. [PDF]

Sci Rep
Chong JW, Hanafiah MM.
europepmc   +1 more source

Human‐in‐the‐Loop Swarms: A Bionic Swarm Approach to Real‐World Soil Mapping

Advanced Intelligent Systems, EarlyView.
This article introduces the “Bionic Swarm,” a novel system that lowers the barriers to real‐world swarm validation by abstracting difficult hardware tasks to app‐guided human agents. We demonstrate the system's utility through the experimental validation of a geotechnical soil‐mapping swarm algorithm and show superior performance to baseline approaches
Petras Swissler, Mohammadali Rashidioun, Nicholas Sahu, Raaid Kabir, Ayodeji Aderibigbe, Oladoyin Kolawole   +5 more
wiley   +1 more source