顶刊论文：
Dongzhen Lyu, Bin Zhang, Enrico Zio, Jiawei Xiang. Battery Cumulative Lifetime Prognostics: Bridging Laboratory and Real-Life Scenarios. Cell Reports Physical Science, 2024. （Cell子刊）
其他顶刊代表作：
1. Dongzhen Lyu, Bin Zhang, Enhui Liu, Tao Yang, Jiawei Xiang*: Threshold-varying assessment for prognostics and health management. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2025（第1作者，中科院一区，IF=8.6）
2. Dongzhen Lyu, E. Liu, H. Chen, B. Zhang and Jiawei Xiang*: Transfer-Driven Prognosis from Battery Cells to Packs: An Application with Adaptive Differential Model Decomposition. Applied Energy, 2025 （第1作者，中科院一区，IF=10.2）
3. Dongzhen Lyu, Guangxing Niu, Bin Zhang, Gang Chen, Tao Yang. Lebesgue-time–space-model-based diagnosis and prognosis for multiple mode systems [J]. IEEE Transactions on Industrial Electronics, 2021, 68(2): 1591-1603.（第1作者，中科院一区，IF=8.16）
4. Dongzhen Lyu, E. Liu, B. Zhang, T. Yang, and Jiawei Xiang*: Prognosis-Enabled Battery SOC Estimation Using a Closed-Loop Approach with Consideration of SOH Degradation, Journal of Energy Storage, 2025 （第1作者，JCR一区，IF=9.8）
5. Dongzhen Lyu, Guangxing Niu, Eenhui Liu, Tao Yang, Gang Chen, Bin Zhang. Uncertainty management and differential model decomposition for fault diagnosis and prognosis [J]. IEEE Transactions on Industrial Electronics, 2022, 69(5): 5235-5246. （第1作者，中科院一区，IF=8.16）
6. Dongzhen Lyu, Guangxing Niu, Enhui Liu, Bin Zhan, Gang Chen, Tao Yang, Enrico Zio. Time space modelling for fault diagnosis and prognosis with uncertainty management: a general theoretical formulation [J]. Reliability Engineering & System Safety, 2022: 108686. （第1作者，中科院一区，IF=7.25）
7. Dongzhen Lyu, Bin Zhang, Enrico Zio and Tao Yang. The explainable uncertainty in degradation process: a discovery from non-accelerated batteries degradation experiment [C]. 48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022), Brussels, Belgium, 2022, pp. 1-6.（第1作者，国际会议，特邀宣讲）
8. Dongzhen Lyu, Jinrui Zhang, Bin Zhang, Tao Yang, Jiawei Xiang. Predicting Remaining Discharge Time for Lithium-ion Batteries based on Differential Model Decomposition [C]. 2nd IEEE Industrial Electronics Society Annual On-Line Conference (ONCON 2023), South Carolina, United States, 2024, pp. 1-6.（第1作者，国际会议，分会场主席）
顶刊技术专利保护（国际）：
1. 吕东祯. 一种快速测算电池质保协议寿命的****方法 . 2025.（国际专利，PCT进入中国）
2. Dongzhen Lyu, Jiawei Xiang. An immersion life prolonging device and a constant temperature life prolonging method for a new energy storage power station. 2025.（国际专利，巴黎公约进入欧洲）
3. Dongzhen Lyu. & Yueqin Cui. Method, device, electronic equipment and computer-readable storage medium for lifetime prognosis of rechargeable-battery based on cumulative-consumption-indicators. United States, US20240054269, 2024. （美国专利）
4. Yueqin Cui. & Dongzhen Lyu. PROCÉDÉ ET APPAREIL DE PRÉDICTION DE DURÉE DE VIE DE BATTERIE RECHARGEABLE BASÉE SUR LA CONSOMMATION CUMULÉE, DISPOSITIF ÉLECTRONIQUE ET SUPPORT DE STOCKAGE LISIBLE. PCT International, WO2023284453A1, 2022.（国际专利，PCT进入美国）
顶刊技术专利保护（国内）：
1. 吕东祯, 向家伟, 陈慧灵, 陈丽燕, 颜斌骏. 一种通过降低环境温度以延长电池总累计寿命的方法. China, 202410932881.4, 2024. （最新授权专利）
2. 吕东祯 & 崔跃芹. 一种基于累计耗损量的充电电池寿命预测方法和装置. China, CN114460484B, 2023.（已授权）
3. 吕东祯 & 崔跃芹. 一种考虑运行工况的充电电池累计损耗寿命预测方法、装置、电子设备及可读存储介质. China, CN114444370B, 2023.（已授权）
4. 吕东祯 & 崔跃芹. 一种采用复合寿命指标的充电电池寿命预测方法、装置、电子设备及可读存储介质. China, CN116774081B, 2024. （已授权）
5. 吕东祯 & 向家伟. 一种新能源储能电站的沉浸式延寿设备及恒温延寿方法. China, CN118099598A, 2024（待授权）.
6. 匿名, 吕东祯, 一种基于预测的充电电池剩余荷电量的动态估计方法、装置、电子设备及可读存储介质. China, CN 118052026 A, 2024, （待授权）
7. 杨涛, 吕东祯, 高伟, 张磊, 赵家毅, 张琛, 胡迪, 孙盛桃, 何佳豪, 王子文, 苏世玮, 齐江永, 杨嘉巍, 一种干式排渣余热回收利用装置, CN 109670243B, 2019,（已授权）
8. 杨涛, 吕东祯, 陈刚, 何健康, 陈前明, 张成, 宁立明, 崔鹏, 李冰, 何新兵, 沈忠明, 一种基于勒贝格空间模型的寿命预测方法, CN108775593B, 2020（已授权）
合作论文：
1. Jinrui Zhang, Dongzhen Lyu, Jiawei Xiang*A model-data-fusion method for real-time continuous remaining useful life prediction of lithium batteries. Measurement, Volume 238, 2024.
2. E. Liu, X. Wang, G. Niu, Dongzhen Lyu, T. Yang and B. Zhang*: Uncertainty Management in Lebesgue-Sampling-Based Li-Ion Battery SFP Model for SOC Estimation and RDT Prediction. In IEEE/ASME Transactions on Mechatronics, vol. 28, no. 2, pp. 611-620, 2023.
3. E. Liu, G. Niu, Dongzhen Lyu, T. Yang and B. Zhang*: Low-Cost Adaptive LS-DEKF for SOC Estimation and RDT Prediction With SFP Model. In IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-9, 2023.
4. E. Liu, X. Wang, G. Niu, Dongzhen Lyu, T. Yang and B. Zhang*: Lebesgue Sampling-Based Li-Ion Battery Simplified First Principle Model for SOC Estimation and RDT Prediction. In IEEE Transactions on Industrial Electronics, vol. 69, no. 9, pp. 9524-9534, 2022.
5. S. Guo*, B. Zhang, T. Yang, Dongzhen Lyu and W. Gao: Multitask Convolutional Neural Network With Information Fusion for Bearing Fault Diagnosis and Localization. In IEEE Transactions on Industrial Electronics, vol. 67, no. 9, pp. 8005-8015, 2020.
6. Z. Linnan, L. Guizhong*, Z. Tong, Dongzhen Lyu and Jiawei Xiang: A flexible, highly sensitivity and wideband width response non-contact triboelectric nanogenerator for online vibration monitoring. In IEEE 2nd Industrial Electronics Society Annual On-Line Conference, SC, USA, 2023.
7. T. Wang*, W. Liu, Dongzhen Lyu, X. Zhang and C. Zhang: Parameter Degradation Features Selection Based on Multiple Evaluation Index in a DC-DC Converter. In IEEE 2nd Industrial Electronics Society Annual On-Line Conference, SC, USA, 2023.
8. Dongzhen Lyu, G. Niu, T. Yang*, C. Gang and B. Zhang: Uncertainty Analysis in the Application of Fault Diagnosis and Prognosis. In 4th IEEE International Conference on Industrial Cyber-Physical Systems, Victoria, BC, Canada, 2021.
9. Dongzhen Lyu, G. Niu, D. Hu, G. Chen, T. Yang* and B. Zhang: A Lebesgue-Time-Space-Model and Particle Filter based Diagnosis and Prognosis Method. In International Conference on Sensing, Diagnostics, Prognostics, and Control, Beijing, China, 2019.