Results 21 to 30 of about 724,994 (302)
Observer techniques for estimating the state-of-charge and state-of-health of VRLABs for hybrid electric vehicles [PDF]
, 2005 The paper describes the application of observer-based state-estimation techniques for the real-time prediction of state-of-charge (SoC) and state-of-health (SoH) of lead-acid cells.
Bentley, P +3 more
core +1 more source
IEEE Access, 2020 The accurate state of charge (SoC) online estimation is a significant indicator that relates to driving ranges of electric vehicles (EV). The relationship between open circuit voltage (OCV) and SoC plays an important role in SoC estimation for lithium ...
Yuan Li +4 more
doaj +1 more source
Connection Science, 2022 It is challenging for a battery management system to estimate the State-Of-Charge (SOC) of batteries. A novel model-based method, using a Dual Extended Kalman Filtering algorithm (DEKF) and Back Propagation Neural Network (BPNN), is proposed to estimate ...
Likun Xing, Liuyi Ling, Xianyuan Wu
doaj +1 more source
Electric vehicle battery model identification and state of charge estimation in real world driving cycles [PDF]
, 2015 This paper describes a study demonstrating a new method of state-of-charge (SoC) estimation for batteries in real-world electric vehicle applications. This method combines realtime model identification with an adaptive neuro-fuzzy inference system (ANFIS)
Auger, Daniel J. +2 more
core +1 more source
Estimation of the SOC of Energy-Storage Lithium Batteries Based on the Voltage Increment
IEEE Access, 2020 State of charge (SOC) estimations are an important part of lithium-ion battery management systems. Aiming at existing SOC estimation algorithms based on neural networks, the voltage increment is proposed in this paper as a new input feature for ...
Bo Zhao +6 more
doaj +1 more source
General Model and SOC Estimation of Battery
International Journal of Circuits, Systems and Signal Processing, 2021 Monitoring the battery state is of great importance for the safety and normal of the systems which are powered by batteries. SOC (State of Charge) is one of the most important state parameters of battery. SOC cannot be measured directly. The Kalman filter algorithm is one of the techniques often applied to estimate SOC value.
Li Meng, Haipeng Guo, Xiaowei Zhao
openaire +1 more source
Open-Circuit Voltage Models for Battery Management Systems: A Review
Energies, 2022 A battery management system (BMS) plays a crucial role to ensure the safety, efficiency, and reliability of a rechargeable Li-ion battery pack. State of charge (SOC) estimation is an important operation within a BMS.
Prarthana Pillai +4 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. +3 more
core +2 more sources
State-of-charge and state-of-health prediction of lead-acid batteries for hybrid electric vehicles using non-linear observers [PDF]
, 2005 The paper describes the application of state-estimation techniques for the real-time prediction of state-of-charge (SoC) and state-of-health (SoH) of lead-acid cells.
Bentley, P +3 more
core +1 more source
Relationship Estimation Metrics for Binary SoC Data [PDF]
, 2019 System-on-Chip (SoC) designs are used in every aspect of computing and their optimization is a difficult but essential task in today's competitive market. Data taken from SoCs to achieve this is often characterised by very long concurrent bit vectors which have unknown relationships to each other.
Dave McEwan, Jose Nunez-Yanez
openaire +2 more sources