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Feng X, Ouyang M, Liu X, et al. Thermal runaway mechanism of lithium ion battery for electric vehicles: A review. Energy Storage Materials, 2018, 10: 246-267. (SCI源刊, Most Downloaded Papers of Journal, ESI Hot Paper, Google Scholar Citations: 370)
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Feng X, Weng C, Ouyang M, et al. Online internal short circuit detection for a large format lithium ion battery. Applied Energy, 2016, 161: 168-180. (SCI源刊, IF:5.746, ESI高被引论文2017.05至今, Google Scholar Citations: 105)
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Feng X, He X, Ouyang M, et al. Thermal runaway propagation model for designing a safer battery pack with 25 Ah LiNixCoyMnzO2 large format lithium ion battery. Applied Energy, 2015, 154: 74-91. (SCI源刊, IF:5.746，Google Scholar Citations: 119)
Feng X, Lu L, Ouyang M, et al. A 3D thermal runaway propagation model for a large format lithium ion battery module. Energy, 2016, 115: 194-208.(SCI源刊. IF:4.292，Google Scholar Citations: 91)
冯旭宁, 李建军, 王莉, 等. 锂离子电池各向异性导热的实验与建模. 汽车安全与节能学报, 2012, 3(2): 158-164.
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Feng X, Li J, Ouyang M, et al. Using probability density function to evaluate the state of health of lithium-ion batteries. Journal of Power Sources, 2013, 232: 209-218. (SCI源刊, IF:5.211，Google Scholar Citations: 107)
Feng X, He X, Lu L, et al. Research on simplification of simulating the heat conduction in the lithium-ion battery core. World Electric Vehicle Journal, 2013, 6(3): 611-622. (EI) (Google Scholar Citations: 5)
Feng X, Sun J, Ouyang M, et al. Characterization of large format lithium ion battery exposed to extremely high temperature. Journal of Power Sources, 2014, 272: 457-467. (SCI源刊, IF:6.217，Google Scholar Citations: 91)
Feng X, He X, Lu L, et al. Analysis on the fault features for internal short circuit detection using an electrochemical-thermal coupled model. Journal of the Electrochemical Society, 2018, 165(2): A155-A167. (SCI源刊, IF: 3.662, Google Scholar Citations: 27)
Feng X, He X, Ouyang M, et al. A coupled electrochemical-thermal failure model for predicting the thermal runaway behavior of lithium-ion batteries. Journal of the Electrochemical Society, 2018, 165(16): A3748-A3765. (SCI源刊, IF: 3.66, Google Scholar Citations: 10)
Feng X, Xu C, He X, et al. Mechanisms for the evolution of cell variations within a LiNixCoyMnzO2/grapihte lithium-ion battery pack caused by temperature non-uniformity. Journal of Cleaner Production, 2018, 205: 447-462. (SCI源刊, IF: 5.651, Google Scholar Citations: 13)
Feng X, Weng C, He X, et al. Incremental capacity analysis on commercial lithium-ion batteries using support vector regression: a parametric study. Energies, 2018, 11(9): 2323. (SCI源刊, IF: 2.676, Google Scholar Citations: 9)
Feng X, Pan Y, He X, et al. Detecting the internal short circuit in large format lithium ion battery using model-based fault diagnosis algorithm. Journal of Energy Storage, 2018, 18: 26-39. (EI/ESCI, 实时IF: 2.74, Google Scholar Citations: 28)
Feng X, Zheng S, He X, et al. Time sequence map for interpreting the thermal runaway mechanism of lithium-ion batteries with LiNixCoyMnzO2 cathode. Frontiers in Energy Research, 2018, 6: 126. (EI/ESCI, Google Scholar Citations: 16)
Feng X, Ren D, Zheng S, et al. Influence of aging paths on the thermal runaway features of lithium-ion batteries in accelerating rate calorimetry tests. International Journal of Electrochemical Science, 2019, 14: 44-58. (SCI源刊, IF: 1.369, Google Scholar Citations: 13)
Feng X, Zheng S, Ren D, et al. Key characteristics for thermal runaway of Li-ion batteries[J]. Energy Procedia, 2019, 158: 4684-4689. (Google Scholar Citations: 13)
Feng X, Xu C, He X, et al. A graphical model for evaluating the status of series‐connected lithium‐ion battery pack[J]. International Journal of Energy Research, 2019, 43(2): 749-766. (SCI源刊, IF:3.343, Google Scholar Citations: 5)
Feng X, Zheng S, Ren D, et al. Investigating the thermal runaway mechanisms of lithium-ion batteries based on thermal analysis database[J]. Applied Energy, 2019, 246: 53-64. (SCI源刊, IF:8.426, Google Scholar Citations: 34)
Feng X, Weng C, He X, et al. Online state-of-health estimation for Li-ion battery using partial charging segment based on support vector machine[J]. IEEE Transactions on Vehicular Technology, 2019, 68(9): 8583-8592. (SCI源刊. IF: 5.339，Google Scholar Citations: 10)
Feng X, Merla Y, Weng C, et al. A reliable approach of differentiating discrete sampled-data for battery diagnosis. eTransportation, 2020, 100051.
Yang X, Duan Y, Feng X*, et al. An experimental study on preventing thermal runaway propagation in lithium-ion battery module using aerogel and liquid cooling plate together. Fire Technology, 2020, accepted online. (唯一通讯作者, SCI源刊. IF: 1.42)
Weng C*, Feng X*, Sun J, et al. State-of-health monitoring of lithium-ion battery modules and packs via incremental capacity peak tracking. Applied Energy, 2016, 180: 360-368. (共同通讯作者, SCI源刊, IF: 5.746, Google Scholar Citations: 91)
Wang H, Du Z*, Rui X, Wang S, Jin C, He L, Zhang F, Wang Q, Feng X*. A comparative analysis on thermal runaway behavior of Li (NixCoyMnz) O2 battery with different nickel contents at cell and module level[J]. Journal of Hazardous Materials, 2020, 393: 122361. (共同通讯作者, SCI源刊, IF: 7.650)
Tomaszewska A, Chu Z, Feng X*, ... Billy Wu*. Lithium-ion battery fast charging: A review[J]. eTransportation, 2019, 1: 100011.
Guo D, Yang G*, Zhao G, Yi M, Feng X*, Han X, Lu L, Ouyang M. Determination of the differential capacity of lithium-ion Batteries by the deconvolution of electrochemical impedance spectra[J]. Energies, 2020, 13(4): 915. (共同通讯作者, SCI源刊, IF: 2.707)
Guo D, Yang G*, Feng X*, et al. Physics-based fractional-order model with simplified solid phase diffusion of lithium-ion battery[J]. Journal of Energy Storage, 2020, 30: 101404. (共同通讯作者, SCI源刊, IF: 2.707)
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