Results 91 to 100 of about 16,730,294 (301)

NeuroVisio SyncPatch: A Skin‐Conformal Multimodal EMG–Motion Sensing Platform for Quantitative Neuromuscular Rehabilitation and Performance Monitoring

Advanced Healthcare Materials, EarlyView.
NeuroVisio SyncPatch integrates skin‐conformal electromyography (EMG) electrodes with camera‐tracked markers to jointly assess muscle activity and three‐dimensional knee kinematics during rehabilitation. Parallel feedback pathways provide real‐time kinematic guidance during movement and post‐trial neuromuscular feedback.
Bohyung Choi, Yoo‐Jin Jun, Heewon Choee, Kun‐Do Lee, Heesoo Kim, Yu Seok Hwang, Choong Yeon Kim, Seongok Chae, Juhyun Lee, Minkyu Je, Jae‐Woong Jeong, Hyung‐Soon Park   +11 more
wiley   +1 more source

Workshop - Highly integrated thermal battery management system

Our workshop on "Highly integrated battery thermal management systems" provided key insights into the latest innovations for EV efficiency and presented the result of the Hashtag#MARBEL new battery with a major focus on the cooling ...
Eichinger, Sandor, Boxberger, Valerius, Hannemann, Christian   +2 more
core   +1 more source

Battery management systems : design by modelling

, 2002
Battery Management Systems - Design by Modelling describes the design of Battery Management Systems (BMS) with the aid of simulation methods. The basic tasks of BMS are to ensure optimum use of the energy stored in the battery (pack) that powers a ...
Notten, P.H.L., Bergveld, H.J., Kruijt, W.S.   +2 more
core   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

A digital twin–enabled measurement and instrumentation framework for ultra-accurate short-term voltage prediction in lithium-ion batteries for electric vehicle applications

Next Energy
Accurate short-term voltage prediction is essential for safety, efficiency, and optimal power management in electric vehicle (EV) battery systems. However, traditional battery management systems (BMSs) suffer from modeling inaccuracies, sensor drift, low-
Khairy Sayed, Hebatallah H. ElZohri, Ahmed G. Abo-Khalil, Mahmoud Aref   +3 more
doaj   +1 more source

IEEE P2668 Compatible Evaluation Strategy for Smart Battery Management Systems. [PDF]

Sensors (Basel), 2022
Wang H, Tsang KF, Wu CK, Wei Y, Liu Y, Lai CS.   +5 more
europepmc   +1 more source

Battery Management Systems and Inductive Balancing Conclusions

, 2021
[Abstract Not ...
Van den Bossche, Alex, Moghaddam, Ali Farzan   +1 more
core  

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Battery Management System and Its Applications

, 2022
Battery Management System (BMS) is an essential part of any energy storage systems. It controls battery charging, discharging, manages optimum operating conditions, governs the safety limits, runs the battery charge and health algorithms, monitors ...
Vezzini, Andrea, Xu, You, Tan, Xiaojun, Wei, Liangliang, Yuqian, Fan, Khare, Neeta   +5 more
core  

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source