Adopting combined strategies to make state of charge (SOC) estimation for practical use
出版年份 2018 全文链接
标题
Adopting combined strategies to make state of charge (SOC) estimation for practical use
作者
关键词
-
出版物
Journal of Renewable and Sustainable Energy
Volume 10, Issue 3, Pages 034102
出版商
AIP Publishing
发表日期
2018-06-19
DOI
10.1063/1.5024031
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A Lithium-Ion Battery-in-the-Loop Approach to Test and Validate Multiscale Dual H Infinity Filters for State-of-Charge and Capacity Estimation
- (2018) Cheng Chen et al. IEEE TRANSACTIONS ON POWER ELECTRONICS
- A Comparative Study of Three Improved Algorithms Based on Particle Filter Algorithms in SOC Estimation of Lithium Ion Batteries
- (2017) Bizhong Xia et al. Energies
- A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
- (2017) M.A. Hannan et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Particle-filtering-based estimation of maximum available power state in Lithium-Ion batteries
- (2016) Claudio Burgos-Mellado et al. APPLIED ENERGY
- Co-estimation of state-of-charge, capacity and resistance for lithium-ion batteries based on a high-fidelity electrochemical model
- (2016) Linfeng Zheng et al. APPLIED ENERGY
- 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
- Least-squares based coulomb counting method and its application for state-of-charge (SOC) estimation in electric vehicles
- (2016) Li Zhao et al. INTERNATIONAL JOURNAL OF ENERGY RESEARCH
- State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation
- (2014) Wei He et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- 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
- State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures
- (2013) Yinjiao Xing et al. APPLIED ENERGY
- Battery Management System: An Overview of Its Application in the Smart Grid and Electric Vehicles
- (2013) Habiballah Rahimi-Eichi et al. IEEE Industrial Electronics Magazine
- Sequential Monte Carlo filter for state estimation of LiFePO 4 batteries based on an online updated model
- (2013) Jiahao Li et al. JOURNAL OF POWER SOURCES
- State of charge estimation for electric vehicle batteries using unscented kalman filtering
- (2013) Wei He et al. MICROELECTRONICS RELIABILITY
- A new model for State-of-Charge (SOC) estimation for high-power Li-ion batteries
- (2012) Yao He et al. APPLIED ENERGY
- State of Charge Estimation of Lithium-Ion Batteries in Electric Drive Vehicles Using Extended Kalman Filtering
- (2012) Zheng Chen et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Particle filter for state of charge and state of health estimation for lithium–iron phosphate batteries
- (2012) Simon Schwunk et al. JOURNAL OF POWER SOURCES
- State of Charge and Loss of Active Material Estimation of a Lithium Ion Cell under Low Earth Orbit Condition Using Kalman Filtering Approaches
- (2012) Saeed Khaleghi Rahimian et al. JOURNAL OF THE ELECTROCHEMICAL SOCIETY
- Online estimation of model parameters and state-of-charge of LiFePO4 batteries in electric vehicles
- (2011) Hongwen He et al. APPLIED ENERGY
- Equivalent circuit model parameters of a high-power Li-ion battery: Thermal and state of charge effects
- (2011) Jamie Gomez et al. JOURNAL OF POWER SOURCES
- Electro-thermal battery model identification for automotive applications
- (2010) Y. Hu et al. JOURNAL OF POWER SOURCES
- Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework
- (2008) B. Saha et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started