Results 11 to 20 of about 3,079,233 (343)

State of Health Equity Movement, 2011 Update: DRA Project Report No. 11-01 [PDF]

, 2011
State of Health Equity Movement, 2011 Update Part A: Overview DRA Project Report No.
Bezold, Clem, Birnbaum, Nathan, Masterson, Emily, Shoomaker, Heidi   +3 more
core   +1 more source

State-of-Charge Monitoring and Battery Diagnosis of Different Lithium Ion Chemistries Using Impedance Spectroscopy

Batteries, 2021
For lithium iron phosphate batteries (LFP) in aerospace applications, impedance spectroscopy is applicable in the flat region of the voltage-charge curve.
Peter Kurzweil, Wolfgang Scheuerpflug
doaj   +1 more source

State-of-Charge and State-of-Health Estimation for Lithium-Ion Batteries Based on Dual Fractional-Order Extended Kalman Filter and Online Parameter Identification

IEEE Access, 2021
Accurate state-of-charge (SOC) and state-of-health (SOH) estimations of batteries are of great significance for electric vehicles. A combined SOC and SOH estimation method for lithium-ion batteries based on a dual extended Kalman filter (EKF) and ...
Liuyi Ling, Ying Wei
doaj   +1 more source

Long-term Evaluation of the State-of-Health of Traction Lithium-ion Batteries in Operational Buses

International Journal of Prognostics and Health Management, 2022
In this paper, we present and evaluate a novel methodology to estimate the usable capacity and state-of-health (SOH) of lithium-ion batteries in battery-electric buses (BEV).
Miguel Simão, Rune Prytz, Sławomir Nowaczyk   +2 more
doaj   +1 more source

An Accurate and Precise Grey Box Model of a Low-Power Lithium-Ion Battery and Capacitor/Supercapacitor for Accurate Estimation of State-of-Charge

Batteries, 2019
The fluctuating nature of power produced by renewable energy sources results in a substantial supply and demand mismatch. To curb the imbalance, energy storage systems comprising batteries and supercapacitors are widely employed.
Qamar Navid, Ahmed Hassan
doaj   +1 more source

Dynamic Equivalent Circuit Model to Estimate State-of-Health of Lithium-Ion Batteries

IEEE Access, 2022
Lithium-ion (Li-ion) batteries have increasingly been used in diverse applications. Accurate estimation of the state of health (SOH) of the Li-ion batteries is vital for all stakeholders and critical in various applications such as electric vehicles (EVs)
Shehla Amir, Moneeba Gulzar, Muhammad O. Tarar, Ijaz H. Naqvi, Nauman A. Zaffar, Michael G. Pecht   +5 more
doaj   +1 more source

New battery model and state-of-health determination through subspace parameter estimation and state-observer techniques [PDF]

, 2009
This paper describes a novel adaptive battery model based on a remapped variant of the well-known Randles' lead-acid model. Remapping of the model is shown to allow improved modeling capabilities and accurate estimates of dynamic circuit parameters when ...
Bentley, P., Bingham, C.M., Gould, C.R., Stone, D.A.   +3 more
core   +2 more sources

Forecasting the state of health of electric vehicle batteries to evaluate the viability of car sharing practices [PDF]

, 2016
Car sharing practices are introducing electric vehicles into their fleet. However, literature suggests that at this point shared electric vehicle systems are failing to reach satisfactory commercial viability.
Gautama, Sidharta, Semanjski, Ivana
core   +3 more sources

The impact of health on professionally active people's incomes in Poland. Microeconometric analysis [PDF]

, 2010
The outcome of the research confirms the occurrence of positive interaction between professionally active people's incomes and the self-assessed state of health.
A Bhargava, B. Tobiasz-Adamczyk, D Bloom, D Bloom, D. Bloom, D. Feeny, J. Mince, J. Mossey, J. Pelkowski, J. Salomon, J. Smith, J. Smith, J. Smith, M Suhrcke, M. Grossman, M. Suhrcke, P Contoyannis, R Barro, R Disney, S. Domański, S. Stern   +20 more
core   +2 more sources

State-of-Health Prediction For Lithium-Ion Batteries With Multiple Gaussian Process Regression Model

IEEE Access, 2019
State-of-health (SOH) prediction for lithium-ion batteries is a challenging and important topic in the modern industry. With the advent of cloud-connected devices, there are huge amounts of the battery degradation trend data available.
Xueying Zheng, Xiaogang Deng
doaj   +1 more source