Results 81 to 90 of about 625,474 (199)
, 2019 The accuracy of a method solving an electronic many-body problem lies in the estimation of the exact exchange-correlation term. Many approximations are formulated for some special situations and how to tackle the correlations, leading to overestimated or
Eone II, Jacques René
core
EnergiesEffective health management and accurate state of charge (SOC) estimation are crucial for the safety and longevity of lithium-ion batteries (LIBs), particularly in electric vehicles.
Houda Bouchareb +3 more
doaj +1 more source
Online Cell-by-Cell Calibration Method to Enhance the Kalman-Filter-Based State-of-Charge Estimation
BatteriesKalman filter (KF) is an effective way to estimate the state-of-charge (SOC), but its performance is heavily dependent on the state-space model parameters.
Ngoc-Thao Pham +3 more
doaj +1 more source
EnergiesLithium-ion batteries are the core energy storage technology for electric vehicles and energy storage systems. Accurate state-of-charge (SOC) estimation is critical for optimizing battery performance, ensuring safety, and predicting battery lifetime ...
Yu Miao +4 more
doaj +1 more source
Relax, Estimate, and Track: A Simple Battery State-of-Charge and State-of-Health Estimation Method
Battery management is a critical component of ubiquitous battery-powered energy systems, in which battery state-of-charge (SOC) and state-of-health (SOH) estimations are of crucial importance. Conventional SOC and SOH estimation methods, especially model-based methods, often lack accurate modeling of the open circuit voltage (OCV), have relatively high
Jiang, Shida, Shi, Junzhe, Moura, Scott
openaire +2 more sources
Peukert's Law-Based State-of-Charge Estimation for Primary Battery Powered Sensor Nodes. [PDF]
Sensors (Basel), 2023 Dai H, Xia Y, Mao J, Xu C, Liu W, Hu S.
europepmc +1 more source
Battery State-of-Charge Estimation Using Neural Networks
, 2019 This thesis proposes a way to augment the existing machine learning algorithm applied to state-of-charge estimation by introducing a form of pulse injection to the running battery cells. It is believed that the information contained in the pulse responses can be interpreted by a machine learning algorithm whereas other techniques are difficult to ...
openaire +2 more sources
State of Charge Estimation and Evaluation of Lithium Battery Using Kalman Filter Algorithms. [PDF]
Materials (Basel), 2022 Hu L, Hu R, Ma Z, Jiang W.
europepmc +1 more source
State of Charge Estimation Model Based on Genetic Algorithms and Multivariate Linear Regression with Applications in Electric Vehicles. [PDF]
Sensors (Basel), 2023 Manriquez-Padilla CG +5 more
europepmc +1 more source
State of Charge Estimation of Li-Ion Battery Based on Adaptive Sliding Mode Observer. [PDF]
Sensors (Basel), 2022 Wang Q, Jiang J, Gao T, Ren S.
europepmc +1 more source