Results 1 to 10 of about 360,408 (262)

A Learning-Based Vehicle-Cloud Collaboration Approach for Joint Estimation of State-of-Energy and State-of-Health

Sensors, 2022
The state-of-energy (SOE) and state-of-health (SOH) are two crucial quotas in the battery management systems, whose accurate estimation is facing challenges by electric vehicles’ (EVs) complexity and changeable external environment.
Peng Mei, Hamid Reza Karimi, Fei Chen, Shichun Yang, Cong Huang, Song Qiu   +5 more
doaj   +3 more sources

Estimation of health state utilities in breast cancer

Patient Preference and Adherence, 2017
Seon-Ha Kim,1 Min-Woo Jo,2 Minsu Ock,2 Hyeon-Jeong Lee,2 Jong-Won Lee3,4 1Department of Nursing, College of Nursing, Dankook University, Cheonan, 2Department of Preventive Medicine, University of Ulsan College of Medicine, Seoul, 3Department of Breast ...
Kim SH, Jo MW, Ock M, Lee HJ, Lee JW
doaj   +5 more sources

Online State of Charge and State of Health Estimation for a Lithium-Ion Battery Based on a Data–Model Fusion Method

Energies, 2018
The accurate monitoring of state of charge (SOC) and state of health (SOH) is critical for the reliable management of lithium-ion battery (LIB) systems.
Zhongbao Wei, Feng Leng, Zhongjie He, Wenyu Zhang, Kaiyuan Li   +4 more
doaj   +3 more sources

Data-Driven Health Prognostics of NMC Lithium-Ion Batteries via Impedance Spectroscopy Using a Hybrid CNN-BiLSTM Model [PDF]

Sensors
Accurate and robust battery health prognostics are critical for reliable battery management in electronic devices and electric vehicles. Previous studies have demonstrated that combining electrochemical impedance spectroscopy (EIS) with machine learning ...
Zhihang Liu, Kai Fu, Jiahui Liao, Ulrich Stimming, Donghui Guo, Yunwei Zhang   +5 more
doaj   +2 more sources

The State of Health Estimation of Lithium-Ion Batteries: A Review of Health Indicators, Estimation Methods, Development Trends and Challenges

World Electric Vehicle Journal
The estimation of the state of health (SOH) of lithium-ion batteries is a critical technology for enhancing battery lifespan and safety. When estimating SOH, it is essential to select representative features, commonly referred to as health indicators ...
Kang Tang, Bingbing Luo, Dian Chen, Chengshuo Wang, Long Chen, Feiliang Li, Yuan Cao, Chunsheng Wang   +7 more
doaj   +3 more sources

Estimating health state utilities in hemophagocytic lymphohistiocytosis [PDF]

Journal of Patient-Reported Outcomes, 2021
Abstract Background Hemophagocyti.c lymphohistiocytosis (HLH) is a rare and severe disorder characterized by abnormal activation of the immune system. Primary HLH causes prolonged fever, spleen and liver enlargement, and organ dysfunction, usually in infancy and early childhood and is fatal if left untreated.
Beenish Nafees, Andrew Lloyd, Sarah Dewilde   +2 more
openaire   +3 more sources

A Novel Evaluation Criterion for the Rapid Estimation of the Overcharge and Deep Discharge of Lithium-Ion Batteries Using Differential Capacity

Batteries, 2022
Differential capacity dQ/dU (capacitance) can be used for the instant diagnosis of battery performance in common constant current applications. A novel criterion allows state-of-charge (SOC) and state-of-health (SOH) monitoring of lithium-ion batteries ...
Peter Kurzweil, Bernhard Frenzel, Wolfgang Scheuerpflug   +2 more
doaj   +1 more source

A Novel Method for State of Health Estimation of Lithium-Ion Batteries Based on Deep Learning Neural Network and Transfer Learning

Batteries, 2023
Accurate state of health (SOH) estimation of lithium-ion batteries is critical for maintaining reliable and safe working conditions for electric vehicles (EVs).
Zhong Ren, Changqing Du, Yifang Zhao
doaj   +1 more source

Machine learning pipeline for battery state-of-health estimation [PDF]

Nature Machine Intelligence, 2021
Peer review, pre-print to be published in Nature Machine Intelligence - 32 pages and 24 figures (including supplementary material)
Darius Roman, Saurabh Saxena, Valentin Robu, Michael G. Pecht, David Flynn   +4 more
openaire   +6 more sources

Cross-Modal Health State Estimation [PDF]

Proceedings of the 26th ACM international conference on Multimedia, 2018
Accepted to ACM Multimedia 2018 Conference - Brave New Ideas, Seoul, Korea, ACM ISBN 978-1-4503-5665-7/18 ...
Nitish Nag, Vaibhav Pandey, Preston J. Putzel, Hari Bhimaraju, Srikanth Krishnan, Ramesh C. Jain   +5 more
openaire   +3 more sources