[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Zahid et al., 2018 - Google Patents

State of charge estimation for electric vehicle power battery using advanced machine learning algorithm under diversified drive cycles

Zahid et al., 2018

Document ID
16759510338477394924
Author
Zahid T
Xu K
Li W
Li C
Li H
Publication year
Publication venue
Energy

External Links

Snippet

State of charge estimation is one of the most critical factors to solve the key issues of monitoring and safety concerns of an electric vehicle power battery. In this paper, a state of charge estimation approach using subtractive clustering based neuro-fuzzy system is …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage for electromobility
    • Y02T10/7005Batteries
    • Y02T10/7011Lithium ion battery
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage for electromobility
    • Y02T10/7038Energy storage management
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10Energy storage

Similar Documents

Publication Publication Date Title
Zahid et al. State of charge estimation for electric vehicle power battery using advanced machine learning algorithm under diversified drive cycles
Lipu et al. A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: Challenges and recommendations
Xiong et al. Advanced battery management technologies for electric vehicles
Chen et al. Model predictive control based real-time energy management for hybrid energy storage system
Vasanthkumar et al. Improved wild horse optimizer with deep learning enabled battery management system for internet of things based hybrid electric vehicles
Lin et al. Estimation of battery state of health using probabilistic neural network
Ma et al. State of health estimation and remaining useful life prediction for lithium-ion batteries by improved particle swarm optimization-back propagation neural network
Lee et al. A novel big data modeling method for improving driving range estimation of EVs
Panchal et al. Thermal and electrical performance assessments of lithium-ion battery modules for an electric vehicle under actual drive cycles
Zhang et al. State of charge estimation for lithium battery based on adaptively weighting cubature particle filter
Mamo et al. Long short-term memory with attention mechanism for state of charge estimation of lithium-ion batteries
Rahbari et al. A novel state of charge and capacity estimation technique for electric vehicles connected to a smart grid based on inverse theory and a metaheuristic algorithm
Shao et al. On-line estimation of state-of-charge of Li-ion batteries in electric vehicle using the resampling particle filter
Shi et al. Electric vehicle battery remaining charging time estimation considering charging accuracy and charging profile prediction
Xu et al. Safety warning analysis for power battery packs in electric vehicles with running data
Hu et al. State of health estimation and remaining useful life prediction of electric vehicles based on real-world driving and charging data
CN116400241A (en) Battery health assessment method and device based on full life cycle operation data
Jafari et al. Hierarchical Bayesian model for probabilistic analysis of electric vehicle battery degradation
Lee et al. Battery state-of-charge estimation using data-driven Gaussian process Kalman filters
Mei et al. Remaining driving range prediction for electric vehicles: Key challenges and outlook
Zhang et al. A comparative study of the LiFePO4 battery voltage models under grid energy storage operation
Eleftheriadis et al. Hyperband optimization of stacked bidirectional long short-term memory neural network for the state of charge estimation
Karthick et al. State of charge prediction of battery management system for electric vehicles
Sakile et al. Modelling of lithium-ion battery using matlab/simulink for electric vehicle applications
Fan et al. An adaptive neuro-fuzzy inference system (ANFIS) based model for the temperature prediction of lithium-ion power batteries