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 multi-dimensional residual shrinking network combined with a long short-term memory network for state of charge estimation of Li-ion batteries
Rui Quan et al.
JOURNAL OF ENERGY STORAGE (2023)
Machine learning for predicting battery capacity for electric vehicles
Jingyuan Zhao et al.
ETRANSPORTATION (2023)
Cloud-Based Artificial Intelligence Framework for Battery Management System
Dapai Shi et al.
ENERGIES (2023)
Cloud-Based Deep Learning for Co-Estimation of Battery State of Charge and State of Health
Dapai Shi et al.
ENERGIES (2023)
A hybrid probabilistic correction model for the state of charge estimation of lithium-ion batteries considering dynamic currents and temperatures
Paul Takyi-Aninakwa et al.
ENERGY (2023)
Time-efficient identification of lithium-ion battery temperature-dependent OCV-SOC curve using multi-output Gaussian process
Kesen Fan et al.
ENERGY (2023)
SOC estimation for lithium-ion battery using the LSTM-RNN with extended input and constrained output
Junxiong Chen et al.
ENERGY (2023)
Deep convolutional neural network based closed-loop SOC estimation for lithium-ion batteries in hierarchical scenarios
Qiao Wang et al.
ENERGY (2023)
Battery prognostics and health management for electric vehicles under industry 4.0
Jingyuan Zhao et al.
JOURNAL OF ENERGY CHEMISTRY (2023)
A systematic investigation of internal physical and chemical changes of lithium-ion batteries during overcharge
Ning Mao et al.
JOURNAL OF POWER SOURCES (2022)
Unlocking the thermal safety evolution of lithium-ion batteries under shallow over-discharge
Guangxu Zhang et al.
JOURNAL OF POWER SOURCES (2022)
State of charge estimation for lithium-ion battery using Transformer with immersion and invariance adaptive observer
Heran Shen et al.
JOURNAL OF ENERGY STORAGE (2022)
Data-driven prediction of battery failure for electric vehicles
Jingyuan Zhao et al.
ISCIENCE (2022)
A stochastic-interval model for optimal scheduling of PV-assisted multi-mode charging stations
Marcos Tostado-Veliz et al.
ENERGY (2022)
State of charge estimation for lithium-ion batteries using gated recurrent unit recurrent neural network and adaptive Kalman filter
Junxiong Chen et al.
JOURNAL OF ENERGY STORAGE (2022)
Battery Diagnosis: A Lifelong Learning Framework for Electric Vehicles
Jingyuan Zhao et al.
2022 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC) (2022)
Electric Vehicle Batteries: Status and Perspectives of Data-Driven Diagnosis and Prognosis
Jingyuan Zhao et al.
BATTERIES-BASEL (2022)
Concept Review of a Cloud-Based Smart Battery Management System for Lithium-Ion Batteries: Feasibility, Logistics, and Functionality
Manh-Kien Tran et al.
BATTERIES-BASEL (2022)
Deep learning approach towards accurate state of charge estimation for lithium-ion batteries using self-supervised transformer model
M. A. Hannan et al.
SCIENTIFIC REPORTS (2021)
An improved coulomb counting method based on dual open-circuit voltage and real-time evaluation of battery dischargeable capacity considering temperature and battery aging
Shun-Li Wang et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2021)
The challenge and opportunity of battery lifetime prediction from field data
Valentin Sulzer et al.
JOULE (2021)
Physics-informed machine learning
George Em Karniadakis et al.
NATURE REVIEWS PHYSICS (2021)
Machine learning pipeline for battery state-of-health estimation
Darius Roman et al.
NATURE MACHINE INTELLIGENCE (2021)
Stacked bidirectional long short-term memory networks for state-of-charge estimation of lithium-ion batteries
Chong Bian et al.
ENERGY (2020)
A GRU-RNN based momentum optimized algorithm for SOC estimation
Meng Jiao et al.
JOURNAL OF POWER SOURCES (2020)
Machine learning for continuous innovation in battery technologies
Muratahan Aykol et al.
NATURE REVIEWS MATERIALS (2020)
Online joint-prediction of multi-forward-step battery SOC using LSTM neural networks and multiple linear regression for real-world electric vehicles
Jichao Hong et al.
JOURNAL OF ENERGY STORAGE (2020)
Data-driven prediction of battery cycle life before capacity degradation
Kristen A. Severson et al.
NATURE ENERGY (2019)
State-of-charge estimation of lithium-ion batteries based on gated recurrent neural network
Fangfang Yang et al.
ENERGY (2019)
A Novel Fractional Order Model for State of Charge Estimation in Lithium Ion Batteries
Rui Xiong et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)
An improved state of charge estimation method based on cubature Kalman filter for lithium-ion batteries
Jiankun Peng et al.
APPLIED ENERGY (2019)
Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries
Prashant Shrivastava et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)
The coming electric vehicle transformation
George Crabtree
SCIENCE (2019)
A comparative study of different equivalent circuit models for estimating state-of-charge of lithium-ion batteries
Xin Lai et al.
ELECTROCHIMICA ACTA (2018)
Online estimation of battery equivalent circuit model parameters and state of charge using decoupled least squares technique
Cheng Zhang et al.
ENERGY (2018)
A double-scale and adaptive particle filter-based online parameter and state of charge estimation method for lithium-ion batteries
Min Ye et al.
ENERGY (2018)
An Overview and Comparison of Online Implementable SOC Estimation Methods for Lithium-Ion Battery
Jinhao Meng et al.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2018)
Investigating the error sources of the online state of charge estimation methods for lithium-ion batteries in electric vehicles
Yuejiu Zheng et al.
JOURNAL OF POWER SOURCES (2018)
Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing
Juan-Pablo Correa-Baena et al.
JOULE (2018)
A novel method to obtain the open circuit voltage for the state of charge of lithium ion batteries in electric vehicles by using H infinity filter
Rui Xiong et al.
APPLIED ENERGY (2017)
Comprehensive study of the influence of aging on the hysteresis behavior of a lithium iron phosphate cathode-based lithium ion battery - An experimental investigation of the hysteresis
Andrea Marongiu et al.
APPLIED ENERGY (2016)
Fading Kalman filter-based real-time state of charge estimation in LiFePO4 battery-powered electric vehicles
KaiChin Lim et al.
APPLIED ENERGY (2016)
Open circuit voltage characterization of lithium-ion batteries
B. Pattipati et al.
JOURNAL OF POWER SOURCES (2014)
A novel on-board state-of-charge estimation method for aged Li-ion batteries based on model adaptive extended Kalman filter
Saeed Sepasi et al.
JOURNAL OF POWER SOURCES (2014)
Online cell SOC estimation of Li-ion battery packs using a dual time-scale Kalman filtering for EV applications
Haifeng Dai et al.
APPLIED ENERGY (2012)
Current density and state of charge inhomogeneities in Li-ion battery cells with LiFePO4 as cathode material due to temperature gradients
Matthias Fleckenstein et al.
JOURNAL OF POWER SOURCES (2011)
Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries
Kong Soon Ng et al.
APPLIED ENERGY (2009)
State-of-charge and capacity estimation of lithium-ion battery using a new open-circuit voltage versus state-of-charge
Seongjun Lee et al.
JOURNAL OF POWER SOURCES (2008)