Related references
Note: Only part of the references are listed.Adaptive Dual Extended Kalman Filter Based on Variational Bayesian Approximation for Joint Estimation of Lithium-Ion Battery State of Charge and Model Parameters
Jing Hou et al.
APPLIED SCIENCES-BASEL (2019)
An Online State of Charge Estimation Algorithm for Lithium-Ion Batteries Using an Improved Adaptive Cubature Kalman Filter
Zhibing Zeng et al.
ENERGIES (2018)
Complete cell-level lithium-ion electrical ECM model for different chemistries (NMC, LFP, LTO) and temperatures (-5°C to 45°C) - Optimized modelling techniques
Alexandros Nikohan et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2018)
Electrochemical performance and thermal stability analysis of LiNixCoyMnzO2 cathode based on a composite safety electrolyte
Lihua Jiang et al.
JOURNAL OF HAZARDOUS MATERIALS (2018)
State-of-charge estimation of Li-ion batteries using deep neural networks: A machine learning approach
Ephrem Chemali et al.
JOURNAL OF POWER SOURCES (2018)
A multi-model probability SOC fusion estimation approach using an improved adaptive unscented Kalman filter technique
Yanwen Li et al.
ENERGY (2017)
State of charge estimation of lithium-ion batteries using a grey extended Kalman filter and a novel open-circuit voltage model
Haihong Pan et al.
ENERGY (2017)
An adaptive Kalman filter estimating process noise covariance
Hairong Wang et al.
NEUROCOMPUTING (2017)
A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
M. A. Hannan et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2017)
State of Charge Estimation of Battery Energy Storage Systems Based on Adaptive Unscented Kalman Filter With a Noise Statistics Estimator
Simin Peng et al.
IEEE ACCESS (2017)
A multi-timescale estimator for battery state of charge and capacity dual estimation based on an online identified model
Zhongbao Wei et al.
APPLIED ENERGY (2017)
Frequency response services designed for energy storage
D. M. Greenwood et al.
APPLIED ENERGY (2017)
Benefits of using virtual energy storage system for power system frequency response
Meng Cheng et al.
APPLIED ENERGY (2017)
Enhanced online model identification and state of charge estimation for lithium-ion battery with a FBCRLS based observer
Zhongbao Wei et al.
APPLIED ENERGY (2016)
An integrated approach for the analysis and control of grid connected energy storage systems
Charalampos Patsios et al.
JOURNAL OF ENERGY STORAGE (2016)
Battery energy storage system for primary control reserve and energy arbitrage
Claudio Brivio et al.
SUSTAINABLE ENERGY GRIDS & NETWORKS (2016)
Review of energy storage system for wind power integration support
Haoran Zhao et al.
APPLIED ENERGY (2015)
Review of grid applications with the Zurich 1 MW battery energy storage system
Michael Koller et al.
ELECTRIC POWER SYSTEMS RESEARCH (2015)
An Adaptive Unscented Kalman Filtering Approach for Online Estimation of Model Parameters and State-of-Charge of Lithium-Ion Batteries for Autonomous Mobile Robots
Maral Partovibakhsh et al.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2015)
An Aggregate Model of Plug-In Electric Vehicles for Primary Frequency Control
Seyedmahdi Izadkhast et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2015)
Li-ion battery materials: present and future
Naoki Nitta et al.
MATERIALS TODAY (2015)
A review of demand side management business models in the electricity market
Mahdi Behrangrad
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2015)
A new neural network model for the state-of-charge estimation in the battery degradation process
LiuWang Kang et al.
APPLIED ENERGY (2014)
Distributed Generation Integration in the Electric Grid: Energy Storage System for Frequency Control
Maurizio Delfanti et al.
JOURNAL OF APPLIED MATHEMATICS (2014)
Comparative Issues of Cathode Materials for Li-Ion Batteries
Christian M. Julien et al.
INORGANICS (2014)
Battery state-of-charge estimator using the SVM technique
J. C. Alvarez Anton et al.
APPLIED MATHEMATICAL MODELLING (2013)
Comparison of the structural and electrochemical properties of layered Li[NixCoyMnz]O2 (x=1/3, 0.5, 0.6, 0.7, 0.8 and 0.85) cathode material for lithium-ion batteries
Hyung-Joo Noh et al.
JOURNAL OF POWER SOURCES (2013)
State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model
Hongwen He et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2011)
Algorithms for Advanced Battery-Management Systems MODELING, ESTIMATION, AND CONTROL CHALLENGES FOR LITHIUM-ION BATTERIES
Nalin A. Chaturvedi et al.
IEEE CONTROL SYSTEMS MAGAZINE (2010)
Li-ion battery SOC estimation method based on the reduced order extended Kalman filtering
Jaemoon Lee et al.
JOURNAL OF POWER SOURCES (2007)
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs - Part 1. Background
GL Plett
JOURNAL OF POWER SOURCES (2004)