Results 141 to 150 of about 77,751 (310)

Joint State of Charge and State of Health Estimation Using Bidirectional LSTM and Bayesian Hyperparameter Optimization

IEEE Access
In this study, a novel Machine learning-based method for the joint State of Charge and State of Health estimation of Lithium Batteries that tackle real-world applications and with Bayesian Hyperparameter optimization is proposed.
Panagiotis Eleftheriadis, Spyridon Giazitzis, Julia Kowal, Sonia Leva, Emanuele Ogliari   +4 more
doaj   +1 more source

A Dual-Input Neural Network for Online State-of-Charge Estimation of the Lithium-Ion Battery throughout Its Lifetime. [PDF]

Materials (Basel), 2022
Qian C, Xu B, Xia Q, Ren Y, Yang D, Wang Z.   +5 more
europepmc   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

State of Charge Estimation of Lithium-Ion Batteries Using Stacked Encoder-Decoder Bi-Directional LSTM for EV and HEV Applications. [PDF]

Micromachines (Basel), 2022
Terala PK, Ogundana AS, Foo SY, Amarasinghe MY, Zang H.   +4 more
europepmc   +1 more source

State of charge-dependent aging mechanisms in graphite/Li(NiCoAl)O2 cells: Capacity loss modeling and remaining useful life prediction

, 2019
Capacity loss modeling is required for accurate and reliable lifetime evaluation of lithium-ion batteries. The current capacity loss model parameters cannot be identified online.
He, Hongwen, Xiong, Rui, Pecht, Michael, Qu, Xiaobo, Zhang, Yongzhi   +4 more
core   +1 more source

Printed Integrated Logic Circuits Based on Chitosan‐Gated Organic Transistors for Future Edible Systems

Advanced Functional Materials, EarlyView.
Edible electronics needs integrated logic circuits for computation and control. This work presents a potentially edible printed chitosan‐gated transistor with a design optimized for integration in circuits. Its implementation in integrated logic gates and circuits operating at low voltage (0.7 V) is demonstrated, as well as the compatibility with an ...
Giulia Coco, Valerio Francesco Annese, Valerio Galli, Ilaria Penna, Debora Russo, Marina Veronesi, Rita Scarpelli, Stefania Sabella, Mario Caironi   +8 more
wiley   +1 more source

State of charge estimation for electric vehicles using random forest

Green Energy and Intelligent Transportation
This paper introduces an innovative approach to addressing a critical challenge in the electric vehicle (EV) industry—the accurate estimation of the state of charge (SOC) of EV batteries under real-world operating conditions.
Mohd Herwan Sulaiman, Zuriani Mustaffa
doaj   +1 more source

State of charge estimation of ultracapacitor based on forgetting factor recursive least square and extended Kalman filter algorithm at full temperature range. [PDF]

Heliyon, 2022
Ren J, Xu Y, Zhang H, Yang F, Yang Y, Wang X, Jin P, Huang D.   +7 more
europepmc   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

Impact of Parameter Estimation Accuracy on State of Charge Estimation Using Extended Kalman Filter [PDF]

The Extended Kalman Filter as been shown to be highly effective in estimating the battery State of Charge, however its performance strongly depends on battery model accuracy and on precise knowledge of the battery model parameters. This work investigates
Conti M., Orcioni S., Grilli M., Guaitini J.   +3 more
core   +1 more source