Results 191 to 200 of about 639,841 (326)

State of charge estimation for lithium-based batteries

, 2020
This thesis proposes a new State of Charge (SOC) estimation method for lithium based batteries, which offers a good trade-off between convergence and computation times. Lithium-based battery packages are quite common in the automotive industry and beyond because of their high-power density and dynamic response capabilities.
openaire   +1 more source

CO2 Reduction on Copper‐Nitrogen‐Doped Carbon Catalysts Tuned by Pulsed Potential Electrolysis: Effect of Pulse Potential

Advanced Functional Materials, EarlyView.
This study demonstrates that pulsed potential electrolysis significantly improves CO2 reduction performance on copper‐nitrogen doped carbon electrodes. The formation of cationic copper sites and metallic clusters as a function of applied intermittent potential leads to notable selectivity changes compared to potentiostatic reduction.
Dorottya Hursán, Janis Timoshenko, Andrea Martini, Hyo Sang Jeon, Eduardo Ortega, Martina Rüscher, Arno Bergmann, Aram Yoon, Uta Hejral, Antonia Herzog, Clara Rettenmaier, Felix T. Haase, Philipp Grosse, Beatriz Roldan Cuenya   +13 more
wiley   +1 more source

A simulation-driven prediction model for state of charge estimation of electric vehicle lithium battery. [PDF]

Heliyon
Zhang J, Song C, Xiang J.
europepmc   +1 more source

Cryo‐EM of Rationally Designed Photosystem I Nanoassembly on Graphene Validates Orientation‐Driven Enhancement of Photocatalytic Performance

Advanced Functional Materials, EarlyView.
The first cryo‐EM visualization and quantification of oriented Photosystem I (PSI) on single‐layer graphene is reported. Domain‐specific covalent anchoring of PSI, with the reducing side of the biophotocatalyst toward graphene, promotes three‐fold higher anodic photocurrent generation compared to a randomly physisorbed counterpart. This approach allows
Miriam Izzo, Margot Jacquet, Tomasz Góral, Marcin Strawski, Takayuki Fujiwara, Shin‐ya Miyagishima, Joanna Kargul   +6 more
wiley   +1 more source

Research on precise lithium battery state of charge estimation method based on CALSE-LSTM model and pelican algorithm. [PDF]

Heliyon
Ding Z, Hu D, Jing Y, Ma M, Xie Y, Yin Q, Zeng X, Zhang C, Peng T, Ji J.   +9 more
europepmc   +1 more source

CRISPR/Cas9‐Assisted Microrobots for Fast and Ultrasensitive “On‐The‐Fly” Next‐Generation DNA Detection

Advanced Functional Materials, EarlyView.
This work presents self‐propelled CRISPR/Cas9‐functionalized Au–MRs for rapid, amplification‐free, “on‐the‐fly” DNA detection. By harnessing motion‐assisted signal recovery, the platform achieved the limit of detection in low fM DNA concentrations, enabling detection across a wide dynamic range within only 5 min, which is significantly faster than any ...
Jyoti, Petr Michálek, Zbyněk Heger, Martin Pumera   +3 more
wiley   +1 more source

Efficient state of charge estimation of lithium-ion batteries in electric vehicles using evolutionary intelligence-assisted GLA-CNN-Bi-LSTM deep learning model. [PDF]

Heliyon
Khan MK, Houran MA, Kauhaniemi K, Zafar MH, Mansoor M, Rashid S.   +5 more
europepmc   +1 more source

Large Anomalous and Topological Hall Effect and Nernst Effect in a Dirac Kagome Magnet Fe3Ge

Advanced Functional Materials, EarlyView.
Fe3Ge, a Kagome‐lattice magnet, exhibits remarkable anomalous Hall and Nernst effects, with transverse thermoelectric conductivity surpassing or comaprable to some well‐known ferromagnets. First‐principles calculations attribute these to Berry curvature from massive Dirac gaps. Additionally, topological Hall and Nernst signals emerge from field‐induced
Chunqiang Xu, Shuvankar Gupta, Hengxin Tan, Hyeonhu Bae, Olajumoke Oluwatobiloba Emmanuel, Mingyu Xu, Yan Wu, Xiaofeng Xu, Pengpeng Zhang, Weiwei Xie, Binghai Yan, Xianglin Ke   +11 more
wiley   +1 more source

Efficient state of charge estimation in electric vehicles batteries based on the extra tree regressor: A data-driven approach. [PDF]

Heliyon
Jafari S, Byun YC.
europepmc   +1 more source

Understanding Decoherence of the Boron Vacancy Center in Hexagonal Boron Nitride

Advanced Functional Materials, EarlyView.
State‐of‐the‐art computations unravel the intricate decoherence dynamics of the boron vacancy center in hexagonal boron nitride across magnetic fields from 0 to 3 T. Five distinct regimes emerge, dominated by nuclear spin interactions, revealing optimal coherence times of 1–20 µs in the 180–350 mT range for isotopically pure samples.
András Tárkányi, Viktor Ivády
wiley   +1 more source