Co-estimation of state of charge and capacity for lithium-ion battery based on recurrent neural network and support vector machine

A method to estimate battery SOH indicators based on vehicle operating data only

(2021) L. Vichard et al.   ENERGY

Convolutional neural network based capacity estimation using random segments of the charging curves for lithium-ion batteries

(2021) Cheng Qian et al.   ENERGY

Online estimation of battery model parameters and state of health in electric and hybrid aircraft application

(2021) Seyed Reza Hashemi et al.   ENERGY

Complementary cooperative SOC/capacity estimator based on the discrete variational derivative combined with the DEKF for electric power applications

(2021) Jinhyeong Park et al.   ENERGY

SOH and RUL Prediction of Lithium-Ion Batteries Based on Gaussian Process Regression with Indirect Health Indicators

(2020) Jianfang Jia et al.   Energies

Integrated Approach Based on Dual Extended Kalman Filter and Multivariate Autoregressive Model for Predicting Battery Capacity Using Health Indicator and SOC/SOH

(2020) Jinhyeong Park et al.   Energies

Incremental capacity analysis based adaptive capacity estimation for lithium-ion battery considering charging condition

(2020) Bo Jiang et al.   APPLIED ENERGY

State of health estimation for Li-ion battery via partial incremental capacity analysis based on support vector regression

(2020) Xiaoyu Li et al.   ENERGY

State-of-health estimation of lithium-ion battery based on fractional impedance model and interval capacity

(2020) Qingxia Yang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

An online SOC and capacity estimation method for aged lithium-ion battery pack considering cell inconsistency

(2020) Chaofan Yang et al.   Journal of Energy Storage

A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems

(2020) Yujie Wang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

State-of-Charge Estimation of Lithium-Ion Battery Pack Based on Improved RBF Neural Networks

(2020) Li Zhang et al.   COMPLEXITY

Capacity estimation of lithium-ion cells by combining model-based and data-driven methods based on a sequential extended Kalman filter

(2020) Xin Lai et al.   ENERGY

Accurate and Efficient Estimation of Lithium-Ion Battery State of Charge with Alternate Adaptive Extended Kalman Filter and Ampere-Hour Counting Methods

(2019) Zhongxiao Liu et al.   Energies

Towards a Smarter Battery Management System for Electric Vehicle Applications: A Critical Review of Lithium-Ion Battery State of Charge Estimation

(2019) Muhammad Umair Ali et al.   Energies

SOC estimation for batteries using MS-AUKF and neural network

(2019) Zhongqiang Wu et al.   Journal of Renewable and Sustainable Energy

Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries

(2019) Prashant Shrivastava et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Deep convolutional neural networks with ensemble learning and transfer learning for capacity estimation of lithium-ion batteries

(2019) Sheng Shen et al.   APPLIED ENERGY

State of health estimation for Li-Ion battery using incremental capacity analysis and Gaussian process regression

(2019) Xiaoyu Li et al.   ENERGY

Multibattery-Fed Neutral-Point-Clamped DC–AC Converter With SoC Balancing Control to Maximize Capacity Utilization

(2019) Sergio Busquets-Monge et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles

(2018) Rui Xiong et al.   IEEE Access

Fractional‐order modeling and SOC estimation of lithium‐ion battery considering capacity loss

(2018) Shuxian Li et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Towards a smarter battery management system: A critical review on battery state of health monitoring methods

(2018) Rui Xiong et al.   JOURNAL OF POWER SOURCES

A Simplified Model-Based State-of-Charge Estimation Approach for Lithium-Ion Battery With Dynamic Linear Model

(2018) Jinhao Meng et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Lithium Polymer Battery State-of-Charge Estimation Based on Adaptive Unscented Kalman Filter and Support Vector Machine

(2016) Jinhao Meng et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS