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{'doi': '10.1049/el.2017.2677', 'member_id': '265', 'member': 'Institution of Engineering and Technology (IET)', 'container-title': 'Electronics Letters', 'primary-resource': 'https://onlinelibrary.wiley.com/doi/10.1049/el.2017.2677', 'tld': 'wiley.com', 'clearbit-logo': 'https://logo.clearbit.com/wiley.com', 'coaccess': [], 'multiple-resolution': [], 'type': 'JOURNAL ARTICLE', 'published_date': 'December 2017', 'publication': 'Electronics Letters', 'supplementary_ids': '10.1049/el.2017.2677', 'title': 'Machine learning an alternate technique to estimate the state of charge of energy storage devices', 'name': None, 'id': None, 'location': None, 'display_doi': 'https://doi.org/10.1049/el.2017.2677', 'grant_info': 'National Natural Science Foundation of China (61273139,61573337,61603377)', 'editors': None, 'authors': 'Taimoor Zahid | Kun Xu | Weimin Li', 'chairs': None}
https://doi.org/10.1049/el.2017.2677
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