Big data driven vehicle battery management method: A novel cyber-physical system perspective
出版年份 2020 全文链接
标题
Big data driven vehicle battery management method: A novel cyber-physical system perspective
作者
关键词
Electric vehicles, Battery energy storage, Cyber-physical battery management system, Big data, Deep learning
出版物
Journal of Energy Storage
Volume 33, Issue -, Pages 102064
出版商
Elsevier BV
发表日期
2020-11-10
DOI
10.1016/j.est.2020.102064
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Aging investigation of an echelon internal heating method on a three-electrode lithium ion cell at low temperatures
- (2019) Shanshan Guo et al. Journal of Energy Storage
- A hierarchical energy management strategy for hybrid energy storage via vehicle-to-cloud connectivity
- (2019) Jun Hou et al. APPLIED ENERGY
- A novel Gaussian process regression model for state-of-health estimation of lithium-ion battery using charging curve
- (2018) Duo Yang et al. JOURNAL OF POWER SOURCES
- Fair Demand Response With Electric Vehicles for the Cloud Based Energy Management Service
- (2018) Yu-Wen Chen et al. IEEE Transactions on Smart Grid
- Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles
- (2018) Rui Xiong et al. IEEE Access
- State of charge estimation for electric vehicle power battery using advanced machine learning algorithm under diversified drive cycles
- (2018) Taimoor Zahid et al. ENERGY
- IoT big data analytics for smart homes with fog and cloud computing
- (2018) Abdulsalam Yassine et al. Future Generation Computer Systems-The International Journal of eScience
- Markov Decision-Based Pilot Optimization for 5G V2X Vehicular Communications
- (2018) Yan Yang et al. IEEE Internet of Things Journal
- Evaluation of battery modules state for electric vehicle using artificial neural network and experimental validation
- (2018) Xinyu Liang et al. Energy Science & Engineering
- A novel framework for Lithium-ion battery modeling considering uncertainties of temperature and aging
- (2018) Xiaopeng Tang et al. ENERGY CONVERSION AND MANAGEMENT
- Assessing the progress toward lower priced long range battery electric vehicles
- (2018) Björn Nykvist et al. ENERGY POLICY
- Big Data Analytics for Electric Vehicle Integration in Green Smart Cities
- (2017) Boyang Li et al. IEEE COMMUNICATIONS MAGAZINE
- Health-CPS: Healthcare Cyber-Physical System Assisted by Cloud and Big Data
- (2017) Yin Zhang et al. IEEE Systems Journal
- A comprehensive review of lithium-ion batteries used in hybrid and electric vehicles at cold temperatures
- (2016) J. Jaguemont et al. APPLIED ENERGY
- Smart cyber society: Integration of capillary devices with high usability based on Cyber–Physical System
- (2016) Awais Ahmad et al. Future Generation Computer Systems-The International Journal of eScience
- Integration issues of lithium-ion battery into electric vehicles battery pack
- (2016) Lip Huat Saw et al. JOURNAL OF CLEANER PRODUCTION
- Back propagation neural network with adaptive differential evolution algorithm for time series forecasting
- (2015) Lin Wang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Electric vehicle state of charge estimation: Nonlinear correlation and fuzzy support vector machine
- (2015) Hanmin Sheng et al. JOURNAL OF POWER SOURCES
- Rapidly falling costs of battery packs for electric vehicles
- (2015) Björn Nykvist et al. Nature Climate Change
- A Novel Big Data Modeling Method for Improving Driving Range Estimation of EVs
- (2015) Chung-Hong Lee et al. IEEE Access
- Time series forecasting using a deep belief network with restricted Boltzmann machines
- (2014) Takashi Kuremoto et al. NEUROCOMPUTING
- Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
- (2008) Nicolas Le Roux et al. NEURAL COMPUTATION
- Justifying and Generalizing Contrastive Divergence
- (2008) Yoshua Bengio et al. NEURAL COMPUTATION
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