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。Supervisory long-term prediction of state of available power for lithium-ion batteries in electric vehicles
Lin Yang et al.
APPLIED ENERGY (2020)
Remaining energy estimation for lithium-ion batteries via Gaussian mixture and Markov models for future load prediction
Mona Faraji Niri et al.
JOURNAL OF ENERGY STORAGE (2020)
Enhanced Gaussian process mixture model for short-term electric load forecasting
Ling-Ling Li et al.
INFORMATION SCIENCES (2019)
Online Parameter Identification for State of Power Prediction of Lithium-ion Batteries in Electric Vehicles Using Extremum Seeking
Chun Wei et al.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS (2019)
Long-Term Battery Voltage, Power, and Surface Temperature Prediction Using a Model-Based Extreme Learning Machine
Xiaopeng Tang et al.
ENERGIES (2018)
Remaining discharge-time prediction for batteries using the Lambert function
F. Quinones et al.
JOURNAL OF POWER SOURCES (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)
Temperature effect and thermal impact in lithium-ion batteries: A review
Shuai Ma et al.
PROGRESS IN NATURAL SCIENCE-MATERIALS INTERNATIONAL (2018)
Battery cycle life test development for high-performance electric vehicle applications
Quirin Kellner et al.
JOURNAL OF ENERGY STORAGE (2018)
A new approach to the internal thermal management of cylindrical battery cells for automotive applications
Daniel Worwood et al.
JOURNAL OF POWER SOURCES (2017)
Remaining dischargeable time prediction for lithium-ion batteries using unscented Kalman filter
Guangzhong Dong et al.
JOURNAL OF POWER SOURCES (2017)
Driving range estimation for electric vehicles based on driving condition identification and forecast
Chaofeng Pan et al.
AIP ADVANCES (2017)
Investigating adaptive-ECMS with velocity forecast ability for hybrid electric vehicles
Chao Sun et al.
APPLIED ENERGY (2017)
Examining the effect of initialization strategies on the performance of Gaussian mixture modeling
Emilie Shireman et al.
BEHAVIOR RESEARCH METHODS (2017)
Particle-filtering-based estimation of maximum available power state in Lithium-Ion batteries
Claudio Burgos-Mellado et al.
APPLIED ENERGY (2016)
Experimental and numerical investigation of core cooling of Li-ion cells using heat pipes
K. Shah et al.
ENERGY (2016)
Parameter Estimation for a Lithium-Ion Battery From Chassis Dynamometer Tests
N. Kim et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2016)
A study on specific heat capacities of Li-ion cell components and their influence on thermal management
Andre Loges et al.
JOURNAL OF POWER SOURCES (2016)
A systematic review of lumped-parameter equivalent circuit models for real-time estimation of lithium-ion battery states
S. Nejad et al.
JOURNAL OF POWER SOURCES (2016)
A comprehensive review of on-board State-of-Available-Power prediction techniques for lithium-ion batteries in electric vehicles
Alexander Farmann et al.
JOURNAL OF POWER SOURCES (2016)
Overview of current development in electrical energy storage technologies and the application potential in power system operation
Xing Luo et al.
APPLIED ENERGY (2015)
Particle-Filtering-Based Discharge Time Prognosis for Lithium-Ion Batteries With a Statistical Characterization of Use Profiles
Daniel A. Pola et al.
IEEE TRANSACTIONS ON RELIABILITY (2015)
Online identification of lithium-ion battery parameters based on an improved equivalent-circuit model and its implementation on battery state-of-power prediction
Tianheng Feng et al.
JOURNAL OF POWER SOURCES (2015)
Simulation and Analysis of the Effect of Real-World Driving Styles in an EV Battery Performance and Aging
Mehdi Jafari et al.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION (2015)
Estimation of state-of-charge and state-of-power capability of lithium-ion battery considering varying health conditions
Fengchun Sun 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)
Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles
Wladislaw Waag et al.
JOURNAL OF POWER SOURCES (2014)
Experimental investigation of the lithium-ion battery impedance characteristic at various conditions and aging states and its influence on the application
Wladislaw Waag et al.
APPLIED ENERGY (2013)
Battery Management System An Overview of Its Application in the Smart Grid and Electric Vehicles
Habiballah Rahimi-Eichi et al.
IEEE INDUSTRIAL ELECTRONICS MAGAZINE (2013)
Model-based state of charge and peak power capability joint estimation of lithium-ion battery in plug-in hybrid electric vehicles
Rui Xiong et al.
JOURNAL OF POWER SOURCES (2013)
Online Estimation of Peak Power Capability of Li-Ion Batteries in Electric Vehicles by a Hardware-in-Loop Approach
Rui Xiong et al.
ENERGIES (2012)
Power prediction from a battery state estimator that incorporates diffusion resistance
Shuoqin Wang et al.
JOURNAL OF POWER SOURCES (2012)
Efficient macro-micro scale coupled modeling of batteries
VR Subramanian et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2005)
High-performance battery-pack power estimation using a dynamic cell model
GL Plett
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2004)