锂电池储能系统专利技术发展态势
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摘要
锂离子电池是目前最具发展前景的高效二次电池和发展最快的化学储能电源,已成为各国竞相竞争的技术热点。专利技术能够反映某一技术领域创新发展的现状和历程,已成为开展竞争情报的重要信息源。本文从专利角度出发,通过对锂离子电池储能系统领域专利的分析,发现和了解锂离子储能系统的发展态势,以期为我国政府与企业的战略决策提供参考与借鉴。
Lithium-ion battery is the most promising and efficient secondary battery, and is also the fastest development chemical energy storage power supply. It has become a hot competition in every country of world. Patent technology can reflect the current situation and process of the innovation and development of a technical field, which is an important information source for competitive intelligence. From the perspective of patent analysis of the lithium-ion battery energy storage system,to understand the development trend of lithium-ion storage system, it may provide references for the strategic decision of our government and enterprises.
Lithium-ion battery is the most promising and efficient secondary battery, and is also the fastest development chemical energy storage power supply. It has become a hot competition in every country of world. Patent technology can reflect the current situation and process of the innovation and development of a technical field, which is an important information source for competitive intelligence. From the perspective of patent analysis of the lithium-ion battery energy storage system,to understand the development trend of lithium-ion storage system, it may provide references for the strategic decision of our government and enterprises.
引文
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[2]陈燕.专利信息采集与分析[M].北京:清华大学出版社,2006:1-30.CHEN Yan.Patent information collection and analysis[M].Beijing:Tsinghua University Press,2006:1-30.
[3]赵亚娟,董瑜,朱相丽,等.专利分析及其在情报研究中的应用[J].图书情报工作,2006,50(5):19-22.ZHAO Yajuan,DONG Yu,ZHU Xiangli,et al.Patent analysis and its application in information research[J].Library and Information Service,2006,50(5):19-22.
[4]万象云网站.《万象云》软件功能表[EB/OL].http://help.wanxiangyun.net/material/index.html.
[5]曹兴刚.中国锂离子电池产业分析[D].长春:吉林大学,2005.
[6]黄彦瑜.锂电池发展简史[J].物理,2007(8):643-651.HUANG Yanyu.A brief history of lithium battery development[J].Physics,2007(8):643-651.
[7]卢永芳,程志磊,王晓卫,等.基于时序指数平滑法的风电场功率预测研究[J].工矿自动化,2012,38(8):75-78.LU Yongfang,CHENG Zhilei,WANG Xiaowei,et al.Study on wind power forecasting based on time series exponential smoothing[J].Industry and Mine Automation,2012,38(8):75-78.
[8]胡海涛,郑政,何正友,等.交通能源互联网体系架构及关键技术[J].中国电机工程学报,2018(1):12-24.HU Haitao,ZHENG Zheng,HE Zhengyou,et al.The system of transport energy internet and its key technologies[J].Proceedings of the CSEE,2018(1):12-24.
[9]张静.2015年储能市场盘点-一个蓄势待发的产业[J].储能科学与技术,2016,5(1):58-64.ZHANG Jing.Energy storage market inventory in 2015-A ready industry[J].Energy Storage Science and Technology,2016,5(1):58-64.
[10]封红丽.2016年全球储能技术发展现状与展望[J].电器工业,2016(10):23-29.FENG Hongli.Status and prospects of global energy storage technology in 2016[J].Electrical Appliance Industry,2016(10):23-29.