Publications

Advanced Battery Management Systems

Liu, H., Li, C., Hu, X.*, Li, J., Zhang, K., Xie, Y., … & Song, Z.* (2025). Multi-modal framework for battery state of health evaluation using open-source electric vehicle data. Nature Communications, 16(1), 1137.
Jiang, N., Zhang, J., Jiang, W., Ren, Y., Lin, J., Khoo, E., & Song, Z.* (2024). Driving behavior-guided battery health monitoring for electric vehicles using extreme learning machine. Applied Energy, 364, 123122.
Song, Z., Wang, H., Hou, J., Hofmann, H., & Sun, J. (2019). Combined state and parameter estimation of lithium-ion battery with active current injection. IEEE Transactions on Power Electronics, 35(4), 4439-4447.
Song, Z., Wu, X., Li, X., Sun, J., Hofmann, H., & Hou, J. (2018). Current profile optimization for combined state of charge and state of health estimation of lithium ion battery based on Cramer-Rao bound analysis. IEEE Transactions on Power Electronics, 34, 7067-7078.

Song, Z., Feng, S., Zhang, L., Hu, Z., Hu, X., & Yao, R. (2019). Economy analysis of second-life battery in wind power systems considering battery degradation in dynamic processes: Real case scenarios. Applied Energy, 251, 113411.
Bai, H., Lei, S.*, Geng, S., Hu, X., Li, Z., & Song, Z.* (2024). Techno-economic assessment of isolated micro-grids with second-life batteries: A reliability-oriented iterative design framework. Applied Energy, 364, 123068.
Xu, L., Lei, S.*, Srinivasan, D., & Song, Z.* (2023). Can retired lithium-ion batteries be a game changer in fast charging stations?. eTransportation, 18, 100297.
Bai, H., & Song, Z.* (2023). Lithium-ion battery, sodium-ion battery, or redox-flow battery: A comprehensive comparison in renewable energy systems. Journal of Power Sources, 580, 233426.

Xu, L., Gu, X., & Song, Z.* (2025). Optimal charging for large-scale heterogeneous electric vehicles: A novel paradigm based on learning and backward clustering. Applied Energy, 382, 125232.

Song, Z., Hofmann, H., Li, J., Han, X., & Ouyang, M. (2015). Optimization for a hybrid energy storage system in electric vehicles using dynamic programing approach. Applied Energy, 139, 151-162. (2015-2016 Best Paper Award, Award for Most Cited Energy Article from China, ESI Highly Cited Paper)
Song, Z., Li, J., Han, X., Xu, L., Lu, L., Ouyang, M., & Hofmann, H. (2014). Multi-objective optimization of a semi-active battery/supercapacitor energy storage system for electric vehicles. Applied Energy, 135, 212-224.
Song, Z., Hofmann, H., Li, J., Hou, J., Han, X., & Ouyang, M. (2014). Energy management strategies comparison for electric vehicles with hybrid energy storage system. Applied Energy, 134, 321-331.
Song, Z., Hou, J., Hofmann, H., Li, J., & Ouyang, M. (2017). Sliding-mode and Lyapunov function-based control for battery/supercapacitor hybrid energy storage system used in electric vehicles. Energy, 122, 601-612.

Lu, K., Li, D., Wang, Q., Yang, K., Zhao, L., & Song, Z.* (2025). Safe Reinforcement Learning-Based Eco-Driving Control for Mixed Traffic Flows With Disturbances. IEEE Transactions on Intelligent Transportation Systems, Accepted.
Dong, H., Shi, J., Zhuang, W., Li, Z., & Song, Z.* (2025). Analyzing the impact of mixed vehicle platoon formations on vehicle energy and traffic efficiencies. Applied Energy, 377, 124448.
Liang, Y., Dong, H., Li, D., & Song, Z.* (2024). Adaptive eco-cruising control for connected electric vehicles considering a dynamic preceding vehicle. eTransportation, 19, 100299.
Wang, Q., Dong, H., Ju, F., Zhuang, W.*, Lv, C., Wang, L., & Song, Z.* (2023). Adaptive leading cruise control in mixed traffic considering human behavioral diversity. IEEE Transactions on Intelligent Transportation Systems, Accepted.