Stability Analysis for Li-Ion Battery Model Parameters and State of Charge Estimation by Measurement Uncertainty Consideration
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Stability Analysis for Li-Ion Battery Model Parameters and State of Charge Estimation by Measurement Uncertainty Consideration
Authors
Keywords
-
Journal
Energies
Volume 8, Issue 8, Pages 7729-7751
Publisher
MDPI AG
Online
2015-07-29
DOI
10.3390/en8087729
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Model parameter estimation approach based on incremental analysis for lithium-ion batteries without using open circuit voltage
- (2015) Hongjie Wu et al. JOURNAL OF POWER SOURCES
- A method for joint estimation of state-of-charge and available energy of LiFePO 4 batteries
- (2014) Yujie Wang et al. APPLIED ENERGY
- A novel temperature-compensated model for power Li-ion batteries with dual-particle-filter state of charge estimation
- (2014) Xingtao Liu et al. APPLIED ENERGY
- A novel method for state of charge estimation of lithium-ion batteries using a nonlinear observer
- (2014) Bizhong Xia et al. JOURNAL OF POWER SOURCES
- A method for state of energy estimation of lithium-ion batteries at dynamic currents and temperatures
- (2014) Xingtao Liu et al. JOURNAL OF POWER SOURCES
- On-line estimation of state-of-charge of Li-ion batteries in electric vehicle using the resampling particle filter
- (2014) Sai Shao et al. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
- A method for the estimation of the battery pack state of charge based on in-pack cells uniformity analysis
- (2013) Liang Zhong et al. APPLIED ENERGY
- State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures
- (2013) Yinjiao Xing et al. APPLIED ENERGY
- A data-driven based adaptive state of charge estimator of lithium-ion polymer battery used in electric vehicles
- (2013) Rui Xiong et al. APPLIED ENERGY
- A data-driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion olymer battery in electric vehicles
- (2013) Rui Xiong et al. APPLIED ENERGY
- Adaptive State of Charge Estimation for Li-Ion Batteries Based on an Unscented Kalman Filter with an Enhanced Battery Model
- (2013) Zhiwei He et al. Energies
- State of Charge Estimation Using the Extended Kalman Filter for Battery Management Systems Based on the ARX Battery Model
- (2013) Shifei Yuan et al. Energies
- A robust state-of-charge estimator for multiple types of lithium-ion batteries using adaptive extended Kalman filter
- (2013) Rui Xiong et al. JOURNAL OF POWER SOURCES
- Charging time and loss optimization for LiNMC and LiFePO4 batteries based on equivalent circuit models
- (2013) Xiaosong Hu et al. JOURNAL OF POWER SOURCES
- Online cell SOC estimation of Li-ion battery packs using a dual time-scale Kalman filtering for EV applications
- (2012) Haifeng Dai et al. APPLIED ENERGY
- Model-based state of charge and peak power capability joint estimation of lithium-ion battery in plug-in hybrid electric vehicles
- (2012) Rui Xiong et al. JOURNAL OF POWER SOURCES
- Adaptive unscented Kalman filtering for state of charge estimation of a lithium-ion battery for electric vehicles
- (2011) Fengchun Sun et al. ENERGY
- State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model
- (2011) Hongwen He et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Estimation of State of Charge of a Lithium-Ion Battery Pack for Electric Vehicles Using an Adaptive Luenberger Observer
- (2010) Xiaosong Hu et al. Energies
- State of charge estimation using an unscented filter for high power lithium ion cells
- (2009) Shriram Santhanagopalan et al. INTERNATIONAL JOURNAL OF ENERGY RESEARCH
- State-of-charge estimation of lead-acid batteries using an adaptive extended Kalman filter
- (2008) Jaehyun Han et al. JOURNAL OF POWER SOURCES
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now