1 |
孙宜听, 宗梦然, 黄强, 等. 软包和硬壳磷酸铁锂单体电池过充热传播研究[J]. 电力工程技术, 2020, 39(6): 191-198, 219.
|
|
SUN Y T, ZONG M R, HUANG Q, et al. Thermal propagation process between the pouch and aluminum LFP battery under the condition of overcharge[J]. Electric Power Engineering Technology, 2020, 39(6): 191-198, 219.
|
2 |
赵蓝天, 金阳, 赵智兴, 等. 磷酸铁锂电池模组过充热失控特性及细水雾灭火效果[J]. 电力工程技术, 2021, 40(1): 195-200, 207.
|
|
ZHAO L T, JIN Y, ZHAO Z X, et al. Thermal runaway characteristic of lithium iron phosphate battery modules through overcharge and the fire extinguishing effect of water mist[J]. Electric Power Engineering Technology, 2021, 40(1): 195-200, 207.
|
3 |
牛志远, 王怀铷, 金阳, 等. 不同倍率下磷酸铁锂电池模组过充热失控特性研究[J]. 电力工程技术, 2021, 40(4): 167-174.
|
|
NIU Z Y, WANG H R, JIN Y, et al. Overcharging and runaway characteristics of lithium iron phosphate battery modules at different rates[J]. Electric Power Engineering Technology, 2021, 40(4): 167-174.
|
4 |
FENG X N, OUYANG M G, LIU X, et al. Thermal runaway mechanism of lithium ion battery for electric vehicles: A review[J]. Energy Storage Materials, 2018, 10: 246-267.
|
5 |
FENG X N, REN D S, HE X M, et al. Mitigating thermal runaway of lithium-ion batteries[J]. Joule, 2020, 4(4): 743-770.
|
6 |
SUN Y K, YUAN Y B, LU L G, et al. A comprehensive research on internal short circuits caused by copper particle contaminants on cathode in lithium-ion batteries[J]. eTransportation, 2022, 13: doi: 10.1016/j.etran.2022.100183.
|
7 |
LAI X, JIN C Y, YI W, et al. Mechanism, modeling, detection, and prevention of the internal short circuit in lithium-ion batteries: Recent advances and perspectives[J]. Energy Storage Materials, 2021, 35: 470-499.
|
8 |
KONG X D, LU L G, YUAN Y B, et al. Foreign matter defect battery and sudden spontaneous combustion[J]. eTransportation, 2022, 12: doi: 10.1016/j.etran.2022.100170.
|
9 |
刘力硕, 张明轩, 卢兰光, 等. 锂离子电池内短路机理与检测研究进展[J]. 储能科学与技术, 2018(6): 1003-1015.
|
|
LIU L S, ZHANG M X, LU L G, et al. Recent progress on mechanism and detection of internal short circuit in lithium-ion batteries[J]. Energy Storage Science and Technology, 2018(6): 1003-1015.
|
10 |
HERMANN W A, KOHN S I. Detection of over-current in a battery pack: US20140088809[P]. 2014-03-27.
|
11 |
OUYANG M G, ZHANG M X, FENG X N, et al. Internal short circuit detection for battery pack using equivalent parameter and consistency method[J]. Journal of Power Sources, 2015, 294: 272-283.
|
12 |
FENG X N, PAN Y, HE X M, et al. Detecting the internal short circuit in large-format lithium-ion battery using model-based fault-diagnosis algorithm[J]. Journal of Energy Storage, 2018, 18: 26-39.
|
13 |
LAI X, YI W, KONG X D, et al. Online detection of early stage internal short circuits in series-connected lithium-ion battery packs based on state-of-charge correlation[J]. Journal of Energy Storage, 2020, 30: doi: 10.1016/j.est.2020.101514.
|
14 |
SAZHIN S V, DUFEK E J, GERING K L. Enhancing Li-ion battery safety by early detection of nascent internal shorts[J]. Journal of the Electrochemical Society, 2016, 164(1): A6281-A6287.
|
15 |
SCHMIDT J P, WEBER A, IVERS-TIFFÉE E, et al. A novel and fast method of characterizing the self-discharge behavior of lithium-ion cells using a pulse-measurement technique[J]. Journal of Power Sources, 2015, 274: 1231-1238.
|
16 |
HAUSSMANN P, MELBERT J. Self-discharge observation for onboard safety monitoring of automotive Li-ion cells: Accelerated procedures and application concept[J]. SAE International Journal of Alternative Powertrains, 2018, 7(3): 249-262.
|
17 |
KONG X D, ZHENG Y J, OUYANG M G, et al. Fault diagnosis and quantitative analysis of micro-short circuits for lithium-ion batteries in battery packs[J]. Journal of Power Sources, 2018, 395: 358-368.
|
18 |
LAI X, YI W, LI H L, et al. Online internal short circuit detection method considering equalization electric quantity for lithium-ion battery pack in electric vehicles[J]. International Journal of Energy Research, 2021, 45(5): 7326-7340.
|
19 |
ASAKURA J, NAKASHIMA T, NAKATSUJI T, et al. Battery internal short-circuit detecting device and method, battery pack, and electronic device system: US20100201321[P]. 2010-08-12.
|
20 |
FENG X N, WENG C H, OUYANG M G, et al. Online internal short circuit detection for a large format lithium ion battery[J]. Applied Energy, 2016, 161: 168-180.
|
21 |
NAHA A, KHANDELWAL A, AGARWAL S, et al. Internal short circuit detection in Li-ion batteries using supervised machine learning[J]. Scientific Reports, 2020, 10: 1301.
|
22 |
KRISTON A, PODIAS A, ADANOUJ I, et al. Analysis of the effect of thermal runaway initiation conditions on the severity of thermal runaway-numerical simulation and machine learning study[J]. Journal of the Electrochemical Society, 2020, 167(9): doi: 10.1149/1945-7111/ab9b0b.
|
23 |
LI W, ZHU J E, XIA Y, et al. Data-driven safety envelope of lithium-ion batteries for electric vehicles[J]. Joule, 2019, 3(11): 2703-2715.
|
24 |
WANG Z P, HONG J C, LIU P, et al. Voltage fault diagnosis and prognosis of battery systems based on entropy and Z-score for electric vehicles[J]. Applied Energy, 2017, 196: 289-302.
|
25 |
LI D, ZHANG Z S, LIU P, et al. DBSCAN-based thermal runaway diagnosis of battery systems for electric vehicles[J]. Energies, 2019, 12(15): 2977.
|
26 |
LI D, ZHANG Z S, LIU P, et al. DBSCAN-based thermal runaway diagnosis of battery systems for electric vehicles[J]. Energies, 2019, 12(15): 2977.
|
27 |
ZHANG M X, DU J Y, LIU L S, et al. Internal short circuit detection method for battery pack based on circuit topology[J]. Science China Technological Sciences, 2018, 61(10): 1502-1511.
|
28 |
PAN Y, FENG X N, ZHANG M X, et al. Internal short circuit detection for lithium-ion battery pack with parallel-series hybrid connections[J]. Journal of Cleaner Production, 2020, 255: doi: 10.1016/j.jclepro.2020.120277.
|
29 |
WU H, ZHUO D, KONG D S, et al. Improving battery safety by early detection of internal shorting with a bifunctional separator[J]. Nature Communications, 2014, 5: 1-6.
|
30 |
ZHENG Y J, LU Y F, GAO W K, et al. Micro-short-circuit cell fault identification method for lithium-ion battery packs based on mutual information[J]. IEEE Transactions on Industrial Electronics, 2021, 68(5): 4373-4381.
|
31 |
XIE J L, ZHANG L, YAO T Q, et al. Quantitative diagnosis of internal short circuit for cylindrical li-ion batteries based on multiclass relevance vector machine[J]. Journal of Energy Storage, 2020, 32:doi: 10.1016/j.est.2020.101957.
|
32 |
SANDER J, ESTER M, KRIEGEL H P, et al. Density-based clustering in spatial databases: The algorithm GDBSCAN and its applications[J]. Data Mining and Knowledge Discovery, 1998, 2(2): 169-194.
|