[1] Du JH*, Lu JW, Wang JB, Zheng SZ, Li Y, et al. Analysis of external short circuit fault characteristics and early warning algorithm research for LiFePO4 batteries, Journal of Energy Storage, 2026,150(10):120445. (SCI 二区)
[2] Du JH*, Zheng S, Wang JB, et al. Research on overcharge early warning identification of lithium battery based on improved D-S theory with multi-parameter fusion. Applied Thermal Engineering, 2025,280(3): 128218. (SCI 二区 TOP)
[3] Zheng SZ, Du JH*, Ou YJ, et al. Study on the safety performance parameters of lithium-ion batteries under unconventional extrusion conditions[J]. Journal of Electrochemical Energy Conversion and Storage, Published Online, February 17, 2025, 22:041005.(SCI 四区)
[4] Cao X, Du JH*, Qu C, Wang JB, Tu R. An early diagnosis method for overcharging thermal runaway of energy storage lithium batteries, Journal of Energy Storage, 2024,75(1):109661. (SCI 二区 TOP)
[5] Du JH*, Wang JB, Tan BR, et al. Estimation of battery state of charge based on changing window adaptive extended Kalman filtering[J]. Journal of Energy Storage, 2024, 103: 114325. (SCI 二区 TOP)
[6] Wei SR, Du JH*, Liang HB, et al. Study on Thermal Runaway Behavior and Early Warning Algorithm of Ternary Lithium Battery Pack Under Preload Force[J]. Energy Technology, 2024: 2401238.(SCI 四区)
[7] Wang CX, Du JH*, Ye XH, et al. Analysis of Early-Stage Behavior and Multi-Parameter Early Warning Algorithm Research for Overcharge Thermal Runaway of Energy Storage LiFePO4 Battery Packs[J]. Journal of The Electrochemical Society, 2024, 171(9): 090531.(SCI 四区)
[8] He XF, Du JH* Yang SZ, et al. Research on overcharge thermal runaway behavior analysis and early warning algorithm of ternary lithium battery pack[J]. Journal of Applied Electrochemistry, 2024: 1-16.(SCI 四区)
[9] Wang JB, Du JH*, Tan BR, Cao X, Qu C, Ou YJ, He XF, Xiong LJ, Tu R. Establishment of a Lithium-Ion Battery Model Considering Environmental Temperature for Battery State of Charge Estimation, Journal of The Electrochemical Society, 2023,170(12):120507. (SCI 四区)
[10] 谭必蓉, 杜建华*, 叶祥虎, 曹馨, 瞿常 , 基于模型的锂离子电池SOC估计方法综述, 储能科学与技术, 2023, 2023,12(6):1995-2010.
[11] 叶祥虎, 杜建华*, 谭必蓉,等. 储能电站磷酸铁锂电池模组灭火参数的仿真优化[J]. 伟德BEVlCTOR1946学报(自然科学版), 2023,44(4):435-441.
[12] 郝鑫, 杜建华*, 梁浩斌, 杨世治, 涂然, 张认成 , 锂离子电池冲击挤压后安全特性研究综述, 消防科学与技术, 2021, 70(7): 963-967.
[13] 梁浩斌, 杜建华*, 郝鑫, 杨世治, 涂然, 张认成 , 锂电池膨胀形成机制研究现状, 储能科学与技术,2021, 10(02): 647-657.
[14] 李宇, 杜建华*, 杨世治, 张萌启, 涂然, 张认成, 毕坤. 圆柱型磷酸铁锂电池针刺热失控实验研究[J]. 储能科学与技术, 2019, 8(3):559-565.
[15] 李宇, 杜建华*, 皇甫趁心, 涂然, 张认成. 超级电容器大电流充放电温度场和安全性分析[J]. 储能科学与技术, 2018, 7(1):108-113.
[16] J.H. Du, Ran Tu, Yi Zeng, Leng Pan, R.C. Zhang, An experimental study on the thermal characteristics and heating effect of arc-fault from Cu core in residential electrical wiring fires, PLOS ONE,2017. (SCI三区)
[17] 李宇, 杜建华*, 皇甫趁心, 潘冷, 涂然, 张认成 . 超级电容火灾安全特性探究[J]. 消防科学与技术, 2017, 36(3):296-298.
[18] 杜建华, 涂然, 皇甫趁心, 张认成. 客车发动机舱火灾燃烧特性模拟研究. 消防科学与技术, 2016.4, (4): 455-460.
[19] 杜建华, 张认成等. 大空间火灾的数值模拟[J]. 伟德BEVlCTOR1946学报. 2013,34(2):126-129.
[20] Jianhua Du, Hongwu Huang, Diandian Lan. Research on Modal Identification of Structures using Robust Second-Order Blind Identification Technique[J]. Applied Mechanics and Materials, 2013,Vol.389:712-720. (EI)
[21] Jianhua Du, Hongwu Huang, Diandian Lan. Modal Identification using Blind Source Separation Based on Moving Average Method[J]. Applied Mechanics and Materials, 2013,Vol.378:375-381.(EI)
[22] 丁环, 张认成, 杜建华*. 基于电流分析的汽车电气火灾预警方法[J]. 消防科学与技术. 2013, 32(3): 337-340.
[23] 杜建华, 张认成等. 非分光红外CO浓度探测系统[J]. 仪表技术与传感器. 2012, 9:39-42.
[24] 杜建华, 张认成等. 汽车火灾探测研究现状及发展趋势[J]. 消防科学与技术. 2012,31(4):436-439.
[25] 杜建华, 张认成. LVQ神经网络的红外光谱火灾早期预警算法[J]. 伟德BEVlCTOR1946学报. 2011, 32(6): 607-610.
[26] 杜建华, 张认成. 基于傅里叶变换红外光谱探测的火灾早期过程特征信息研究.光谱学与光谱分析.2008,28(3):559-563.(SCI四区、EI)
[27] 杜建华, 张认成. CO和CO2气体红外光谱技术在火灾早期探测中的应用研究. 光谱学与光谱分析.2007, 27(5): 899-903.(SCI四区、EI)
[28] 杜建华, 张认成. 基于低压电力载波通信的温度采集系统[J]. 仪表技术与传感器. 2007, 5:31-34.