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。An optimized ensemble learning framework for lithium-ion Battery State of Health estimation in energy storage system
Jinhao Meng et al.
ENERGY (2020)
Gaussian Process Regression for In Situ Capacity Estimation of Lithium-Ion Batteries
Robert R. Richardson et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
Remaining useful life prediction for lithium-ion batteries based on a hybrid model combining the long short-term memory and Elman neural networks
Xiaoyu Li et al.
JOURNAL OF ENERGY STORAGE (2019)
Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
Yongzhi Zhang et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2018)
The Remaining Useful Life Estimation of Lithium-ion Battery Based on Improved Extreme Learning Machine Algorithm
Jing Yang et al.
INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE (2018)
Practical failure recognition model of lithium-ion batteries based on partial charging process
Kunlong Chen et al.
ENERGY (2017)
Intelligent fuzzy energy management research for a uniaxial parallel hybrid electric vehicle
Meng Dawei et al.
COMPUTERS & ELECTRICAL ENGINEERING (2017)
Online available capacity prediction and state of charge estimation based on advanced data-driven algorithms for lithium iron phosphate battery
Zhongwei Deng et al.
ENERGY (2016)
Cycle life testing and modeling of graphite/LiCoO2 cells under different state of charge ranges
Saurabh Saxena et al.
JOURNAL OF POWER SOURCES (2016)
A review on hybrid electric vehicles architecture and energy management strategies
M. F. M. Sabri et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2016)
The environmental performance of current and future passenger vehicles: Life cycle assessment based on a novel scenario analysis framework
Christian Bauer et al.
APPLIED ENERGY (2015)
Capacity and power fade cycle-life model for plug-in hybrid electric vehicle lithium-ion battery cells containing blended spinel and layered-oxide positive electrodes
Andrea Cordoba-Arenas et al.
JOURNAL OF POWER SOURCES (2015)
Lithium-ion battery remaining useful life estimation with an optimized Relevance Vector Machine algorithm with incremental learning
Datong Liu et al.
MEASUREMENT (2015)
Robust prognostics for state of health estimation of lithium-ion batteries based on an improved PSO-SVR model
Taichun Qin et al.
MICROELECTRONICS RELIABILITY (2015)
Review of electrical energy storage system for vehicular applications
Guizhou Ren et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2015)
A naive Bayes model for robust remaining useful life prediction of lithium-ion battery
Selina S. Y. Ng et al.
APPLIED ENERGY (2014)
Electric propulsion system for electric vehicular technology: A review
Lalit Kumar et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2014)
Hybrid electric vehicles and their challenges: A review
M. A. Hannan et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2014)
Arrhenius Equation-Based Cell-Health Assessment: Application to Thermal Energy Management Design of a HEV NiMH Battery Pack
Yalian Yang et al.
ENERGIES (2013)
An ensemble model for predicting the remaining useful performance of lithium-ion batteries
Yinjiao Xing et al.
MICROELECTRONICS RELIABILITY (2013)
Energy Management for Lifetime Extension of Energy Storage System in Micro-Grid Applications
Duong Tran et al.
IEEE TRANSACTIONS ON SMART GRID (2013)
Development of a lifetime prediction model for lithium-ion batteries based on extended accelerated aging test data
Madeleine Ecker et al.
JOURNAL OF POWER SOURCES (2012)
Cycle-life model for graphite-LiFePO4 cells
John Wang et al.
JOURNAL OF POWER SOURCES (2011)