Related references
Note: Only part of the references are listed.Stacked bidirectional long short-term memory networks for state-of-charge estimation of lithium-ion batteries
Chong Bian et al.
ENERGY (2020)
An enhanced multi-state estimation hierarchy for advanced lithium-ion battery management
Xiaosong Hu et al.
APPLIED ENERGY (2020)
A normal-gamma-based adaptive dual unscented Kalman filter for battery parameters and state-of-charge estimation with heavy-tailed measurement noise
Jing Hou et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2020)
Active equalization control strategy of Li-ion battery based on state of charge estimation of an electrochemical-thermal coupling model
Yuzhen Lin et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2020)
An enhanced temperature-dependent model and state-of-charge estimation for a Li-Ion battery using extended Kalman filter
Hui Pang et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2020)
State of charge estimation in electric vehicles at various ambient temperatures
Feng Guo et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2020)
An adaptive fusion estimation algorithm for state of charge of lithium-ion batteries considering wide operating temperature and degradation
Xing Shu et al.
JOURNAL OF POWER SOURCES (2020)
Load-responsive model switching estimation for state of charge of lithium-ion batteries
Xiaopeng Tang et al.
APPLIED ENERGY (2019)
State of charge estimation for LiFePO4 battery via dual extended kalman filter and charging voltage curve
Limei Wang et al.
ELECTROCHIMICA ACTA (2019)
A comprehensive working state monitoring method for power battery packs considering state of balance and aging correction
Shun-Li Wang et al.
ENERGY (2019)
Particle filter-based state-of-charge estimation and remaining-dischargeable-time prediction method for lithium-ion batteries
Zonghai Chen et al.
JOURNAL OF POWER SOURCES (2019)
State-of-charge estimation of lithium-ion batteries based on gated recurrent neural network
Fangfang Yang et al.
ENERGY (2019)
State-of-charge estimation of power lithium-ion batteries based on an embedded micro control unit using a square root cubature Kalman filter at various ambient temperatures
Xiangyu Cui et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2019)
Post-combustion CO2 capture from a natural gas combined cycle power plant using activated carbon adsorption
L. Jiang et al.
APPLIED ENERGY (2019)
A comparative study of lumped equivalent circuit models of a lithium battery for state of charge prediction
Hongbin Ren et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2019)
Data-driven lithium-ion battery states estimation using neural networks and particle filtering
Chenbin Zhang et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2019)
A model-based and data-driven joint method for state-of-health estimation of lithium-ion battery in electric vehicles
Zhiqiang Lyu et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2019)
An improved state of charge estimation method based on cubature Kalman filter for lithium-ion batteries
Jiankun Peng et al.
APPLIED ENERGY (2019)
Fractional-order modeling and SOC estimation of lithium-ion battery considering capacity loss
Shuxian Li et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2019)
A wavelet transform-adaptive unscented Kalman filter approach for state of charge estimation of LiFePo4 battery
Yanwen Li et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2018)
Model-based unscented Kalman filter observer design for lithium-ion battery state of charge estimation
Taipeng Wang et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2018)
A comparative study of different equivalent circuit models for estimating state-of-charge of lithium-ion batteries
Xin Lai et al.
ELECTROCHIMICA ACTA (2018)
Adaptive extended Kalman filter based state of charge determination for lithium-ion batteries
Yanqing Shen
ELECTROCHIMICA ACTA (2018)
A double-scale and adaptive particle filter-based online parameter and state of charge estimation method for lithium-ion batteries
Min Ye et al.
ENERGY (2018)
The Co-estimation of State of Charge, State of Health, and State of Function for Lithium-Ion Batteries in Electric Vehicles
Ping Shen et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2018)
Low-complexity online estimation for LiFePO4 battery state of charge in electric vehicles
Jinhao Meng et al.
JOURNAL OF POWER SOURCES (2018)
An online method to simultaneously identify the parameters and estimate states for lithium ion batteries
Qianqian Wang et al.
ELECTROCHIMICA ACTA (2018)
State of charge estimation for electric vehicle power battery using advanced machine learning algorithm under diversified drive cycles
Taimoor Zahid et al.
ENERGY (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)
A new state-of-charge estimation method for electric vehicle lithium-ion batteries based on multiple input parameter fitting model
Xintian Liu et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2017)
A novel method on estimating the degradation and state of charge of lithium-ion batteries used for electrical vehicles
Ruixin Yang et al.
APPLIED ENERGY (2017)
A novel method to obtain the open circuit voltage for the state of charge of lithium ion batteries in electric vehicles by using H infinity filter
Rui Xiong et al.
APPLIED ENERGY (2017)
A model-based adaptive state of charge estimator for a lithium-ion battery using an improved adaptive particle filter
Min Ye et al.
APPLIED ENERGY (2017)
Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries
Fangdan Zheng et al.
APPLIED ENERGY (2016)
A systematic state-of-charge estimation framework for multi-cell battery pack in electric vehicles using bias correction technique
Fengchun Sun et al.
APPLIED ENERGY (2016)
A comparative study and review of different Kalman filters by applying an enhanced validation method
Christian Campestrini et al.
JOURNAL OF ENERGY STORAGE (2016)
A method for state-of-charge estimation of Li-ion batteries based on multi-model switching strategy
Yujie Wang et al.
APPLIED ENERGY (2015)
State of charge estimation for pulse discharge of a LiFePO4 battery by a revised Ah counting
Naixing Yang et al.
ELECTROCHIMICA ACTA (2015)
State of charge estimation for LiMn2O4 power battery based on strong tracking sigma point Kalman filter
Di Li et al.
JOURNAL OF POWER SOURCES (2015)
On-line optimization of battery open circuit voltage for improved state-of-charge and state-of-health estimation
Shijie Tong et al.
JOURNAL OF POWER SOURCES (2015)
A data-driven based adaptive state of charge estimator of lithium-ion polymer battery used in electric vehicles
Rui Xiong et al.
APPLIED ENERGY (2014)
A unified open-circuit-voltage model of lithium-ion batteries for state-of-charge estimation and state-of-health monitoring
Caihao Weng et al.
JOURNAL OF POWER SOURCES (2014)
State-of-charge estimation for battery management system using optimized support vector machine for regression
J. N. Hu et al.
JOURNAL OF POWER SOURCES (2014)
Adaptive unscented Kalman filtering for state of charge estimation of a lithium-ion battery for electric vehicles
Fengchun Sun et al.
ENERGY (2011)
Share Paper
