Results 71 to 80 of about 721,726 (209)

Estimation of Battery SoC using Reinforcement Learning

EPJ Web of Conferences
Battery management systems are critical for electric vehicles, as they directly impact performance, safety, and how long the battery lasts. One of the biggest challenges is accurately estimating the State of Charge (SoC) - essentially how “full” the battery is.
Mortabit Idriss, Rachid Aziz, Errifai Nidale, Boudmane Bilal   +3 more
openaire   +2 more sources

Customized Nios II multi-cycle instructions to accelerate block-matching techniques [PDF]

, 2015
This study focuses on accelerating the optimization of motion estimation algorithms, which are widely used in video coding standards, by using both the paradigm based on Altera Custom Instructions as well as the efficient combination of SDRAM and On-Chip
Botella Juan, Guillermo, García Sánchez, Carlos, González, Diego, Meyer Bäse, Anke, Meyer Bäse, Uwe, Prieto Matías, Manuel   +5 more
core   +2 more sources

Adaptive State of Charge Estimation for Li-Ion Batteries Based on an Unscented Kalman Filter with an Enhanced Battery Model

Energies, 2013
Accurate estimation of the state of charge (SOC) of batteries is one of the key problems in a battery management system. This paper proposes an adaptive SOC estimation method based on unscented Kalman filter algorithms for lithium (Li)-ion batteries ...
Yuanyuan Liu, Leyi Wang, Mingyu Gao, Caisheng Wang, Zhiwei He   +4 more
doaj   +1 more source

Battery choice and management for New Generation Electric Vehicles [PDF]

, 2005
Different types of electric vehicles (EVs) have been recently designed with the aim of solving pollution problems caused by the emission of gasoline-powered engines.
Affanni, A., Bellini, A., Franceschini, G., Guglielmi, Paolo, Tassoni, C.   +4 more
core   +1 more source

Power Management of a Plug-in Hybrid Electric Vehicle Based on Cycle Energy Estimation [PDF]

, 2012
2012 Workshop on Engine and Powertrain Control,Simulation and ModelingThe International Federation of Automatic ControlRueil-Malmaison, France, October 23-25, 2012Plug-in Hybrid Electric Vehicles (PHEV) are being investigated in many research and ...
Bordons Alba, Carlos, Marcos Rodríguez, David   +1 more
core   +1 more source

Online Parameter Identification and State of Charge Estimation of Lithium-Ion Batteries Based on Forgetting Factor Recursive Least Squares and Nonlinear Kalman Filter

Energies, 2017
State of charge (SOC) estimation is the core of any battery management system. Most closed-loop SOC estimation algorithms are based on the equivalent circuit model with fixed parameters. However, the parameters of the equivalent circuit model will change
Bizhong Xia, Zizhou Lao, Ruifeng Zhang, Yong Tian, Guanghao Chen, Zhen Sun, Wei Wang, Wei Sun, Yongzhi Lai, Mingwang Wang, Huawen Wang   +10 more
doaj   +1 more source

Sampling soil organic carbon to detect change over time [PDF]

This research describes a generic monitoring design that could be widely applied to detect temporal changes in soil organic carbon stocks (SOC) across a carbon estimation area (CEA) with no prior knowledge of the spatial or temporal variance of SOC ...
Adrian Chappell, Jeff Baldock, Raphael Viscarra Rossel   +2 more
core  

State of charge estimation of battery in mine-used movable lifesaving cabin based on extended Kalman filtering method

Gong-kuang zidonghua, 2013
In view of problem of low precision in SOC estimation of battery in mine-used movable lifesaving cabin based on ampere hour method under condition of higher fluctuation of environment temperature or discharge current, the paper proposed a SOC estimation ...
WANG Sha-sha, LOU Gao-feng, TANG Xia, SHI Li-ping, ZHANG En-feng   +4 more
doaj  

SOC-SOH co-estimation across the battery life cycle using a simplified electrochemical model with adaptive parameter updating and LSTM

International Journal of Electrochemical Science
As a core function of the battery management system, state of charge (SOC) estimation has been the focus of investigation. However, previous research does not adequately consider the bidirectional interference effect between battery state of health (SOH)
Dianliang Yang, Nailiang Qi, Mingying Huo, Yijiao Liu, Chao Lyu, Mengda Duan   +5 more
doaj   +1 more source

Estimation of nonlinear differential equation model for glucose-insulin dynamics in type I diabetic patients using generalized smoothing

, 2014
In this work we develop an ordinary differential equations (ODE) model of physiological regulation of glycemia in type 1 diabetes mellitus (T1DM) patients in response to meals and intravenous insulin infusion.
Apanasovich, Tatiyana V., Chervoneva, Inna, Freydin, Boris, Hipszer, Brian, Joseph, Jeffrey I.   +4 more
core   +1 more source