1 |
刘荣峰, 张敏, 储毅, 等. 新型储能技术路线分析及展望[J]. 新能源科技, 2023, 4(3): 44-51.
|
|
LIU R F, ZHANG M, CHU Y, et al. Analysis and prospect of new energy storage technology routes[J]. New Energy Science and Technology, 2023, 4(3): 44-51.
|
2 |
陈海生, 李泓, 马文涛, 等. 2021年中国储能技术研究进展[J]. 储能科学与技术, 2022, 11(3): 1052-1076.
|
|
CHEN H S, LI H, MA W T, et al. Research progress of energy storage technology in China in 2021[J]. Energy Storage Science and Technology, 2022, 11(3): 1052-1076.
|
3 |
桂婕, 陈亮, 余池. 基于专利视角的新型储能技术创新发展态势分析[J]. 中国科技资源导刊, 2023, 55(4): 100-110.
|
|
GUI J, CHEN L, YU C. Analysis of the development situation of new energy storage technology innovation from the perspective of patents[J]. China Science & Technology Resources Review, 2023, 55(4): 100-110.
|
4 |
杨于驰, 张媛, 莫堃. 新型储能技术发展与展望[J]. 中国重型装备, 2022(4): 27-32.
|
|
YANG Y C, ZHANG Y, MO K. Development and outlook of new technologies for energy storage[J]. China Heavy Equipment, 2022(4): 27-32.
|
5 |
陈海生, 李泓, 徐玉杰, 等. 2022年中国储能技术研究进展[J]. 储能科学与技术, 2023, 12(5): 1516-1552.
|
|
CHEN H S, LI H, XU Y J, et al. Research progress on energy storage technologies of China in 2022[J]. Energy Storage Science and Technology, 2023, 12(5): 1516-1552.
|
6 |
李阳海, 梅欣, 徐万兵, 等. 采用不同工质的压缩气体储能系统热力性能对比分析[J]. 动力工程学报, 2023, 43(2): 269-274.
|
|
LI Y H, MEI X, XU W B, et al. Comparative analysis of thermal performance of compressed gas energy storage systems using different working fluids[J]. Journal of Chinese Society of Power Engineering, 2023, 43(2): 269-274.
|
7 |
周树辉, 王秀林, 段品佳, 等. 高压气态储氢技术形势分析[J]. 储能科学与技术, 2023, 12(8): 2668-2679.
|
|
ZHOU S H, WANG X L, DUAN P J, et al. Analysis of high-pressure gaseous hydrogen storage technology[J]. Energy Storage Science and Technology, 2023, 12(8): 2668-2679.
|
8 |
解志韬, 孔繁翀, 谢楠. 长三角"双一流" 高校协同创新时空演进——基于合作授权专利的社会网络分析[J]. 研究与发展管理, 2021, 33(5): 149-160.
|
|
XIE Z T, KONG F C, XIE N. Spatio-temporal evolution of collaborative innovation in "double first-class" universities in Yangtze River Delta—a social network analysis based on cooperatively authorized patents[J]. R&D Management, 2021, 33(5): 149-160.
|
9 |
张力菠, 王格格. 电化学储能电池技术主题识别、演化及风险分析[J]. 储能科学与技术, 2023, 12(8): 2680-2692.
|
|
ZHANG L B, WANG G G. Topic identification, evolution, and risk analysis of electrochemical energy storage battery technology[J]. Energy Storage Science and Technology, 2023, 12(8): 2680-2692.
|
10 |
王鑫, 靳军宝, 郑玉荣, 等. 基于DII的超级电容器专利技术国际态势分析[J]. 储能科学与技术, 2019, 8(1): 201-208.
|
|
WANG X, JIN J B, ZHENG Y R, et al. Analyses of international patents on DII based supercapacitors[J]. Energy Storage Science and Technology, 2019, 8(1): 201-208.
|
11 |
王朔, 周格, 禹习谦, 等. 储能技术领域发表文章和专利概览综述[J]. 储能科学与技术, 2017, 6(4): 810-838.
|
|
WANG S, ZHOU G, YU X Q, et al. Overview of research papers and patents on energy storage technologies[J]. Energy Storage Science and Technology, 2017, 6(4): 810-838.
|
12 |
HUANG L C, HOU Z M, FANG Y L, et al. Evolution of CCUS technologies using LDA topic model and Derwent patent data[J]. Energies, 2023, 16(6): 2556.
|
13 |
罗恺, 袁晓东. 基于LDA主题模型与社会网络的专利技术融合趋势研究——以关节机器人为例[J]. 情报杂志, 2021, 40(3): 89-97.
|
|
LUO K, YUAN X D. A study on the technology convergence trend of patent based on LDA and social network—An example of joint robot[J]. Journal of Intelligence, 2021, 40(3): 89-97.
|
14 |
王文婷, 菅利荣, 刘军, 等. 储能产业产学研合作演化研究——基于专利网络的视角[J]. 储能科学与技术, 2021, 10(2): 752-765.
|
|
WANG W T, JIAN L R, LIU J, et al. Evolution of the IUR cooperation network of China's energy storage: An analysis of social network based on patent[J]. Energy Storage Science and Technology, 2021, 10(2): 752-765.
|
15 |
NAN J, XING L, MING X. Measuring technological collaboration on blockchain based on patents: A social network analysis approach[J]. Science, Technology and Society, 2022, 27(1): 66-87.
|
16 |
曹志成, 周开运, 朱家立, 等. 锂离子电池储能系统消防技术的中国专利分析[J]. 储能科学与技术, 2022, 11(8): 2664-2670.
|
|
CAO Z C, ZHOU K Y, ZHU J L, et al. Patent analysis of fire-protection technology of lithium-ion energy storage system[J]. Energy Storage Science and Technology, 2022, 11(8): 2664-2670.
|