Dongjun Li

Dongjun Li

Postdoctoral Research Fellow at the University of Michigan

Publications

You can also find my articles on my Google Scholar profile.

Selected Journal Articles

  1. D. Li, H. Dong, and Z. Song, “Eco-driving for connected and automated vehicles: Managing uncertainty in mixed traffic with a physics-enhanced data-driven method,” IEEE Transactions on Intelligent Transportation Systems, 2025.
  2. D. Li, Q. Hu, W. Jiang, H. Dong, and Z. Song, “Integrated power and thermal management for enhancing energy efficiency and battery life in connected and automated electric vehicles,” Applied Energy, vol. 396, p. 126213, 2025.
  3. D. Li, K. Zhang, H. Dong, Q. Wang, Z. Li, and Z. Song, “Physics-augmented data-enabled predictive control for eco-driving of mixed traffic considering diverse human behaviors,” IEEE Transactions on Control Systems Technology, vol. 32, no. 4, pp. 1479–1486, 2024.
  4. D. Li, C. Zhang, R. Fan, L. Xu, Y. Wang, W. Guo, J. Chen, and M. Ni, “An innovative thermal management method for cooling loop of electric driving system for durable and high efficiency electric vehicle,” Applied Thermal Engineering, vol. 195, p. 117176, 2021.
  5. Y. Wu, Z. Huang, D. Li, H. Li, J. Peng, D. Stroe, and Z. Song, “Optimal battery thermal management for electric vehicles with battery degradation minimization,” Applied Energy, vol. 353, p. 122090, 2024.
  6. Y. Wu, Z. Huang, D. Li, H. Li, J. Peng, J. M. Guerrero, and Z. Song, “Integrated battery thermal and energy management for electric vehicles with hybrid energy storage system: A hierarchical approach,” Energy Conversion and Management, vol. 317, p. 118853, 2024.
  7. H. Dong, Q. Hu, D. Li, Z. Li, and Z. Song, “Predictive battery thermal and energy management for connected and automated electric vehicles,” IEEE Transactions on Intelligent Transportation Systems, vol. 26, no. 2, pp. 2144–2156, 2025.
  8. Y. Liang, H. Dong, D. Li, and Z. Song, “Adaptive eco-cruising control for connected electric vehicles considering a dynamic preceding vehicle,” eTransportation, vol. 19, p. 100299, 2024.
  9. J. Leng, C. Sun, H. Dong, D. Li, C. Zhang, and P. C. Chen, “Adaptive eco-driving with guided speed planning and lane changing through signalized intersections,” IEEE Transactions on Transportation Electrification, 2025.
  10. K. Lu, D. Li, Q. Wang, K. Yang, L. Zhao, and Z. Song, “Safe reinforcement learning-based eco-driving control for mixed traffic flows with disturbances,” IEEE Transactions on Intelligent Transportation Systems, 2025.

Conference Papers

  1. D. Li, H. Dong, and Z. Song, “Physics-informed data-enabled predictive control for regulating mixed traffic flows,” in 2024 IEEE Transportation Electrification Conference and Expo (ITEC), 2024, pp. 1–6.
  2. D. Li, Q. Hu, H. Dong, and Z. Song, “Integrated power and thermal management for reducing battery degradation in electrified connected and automated vehicles,” in 2025 American Control Conference (ACC), 2025, pp. 4731–4736.
  3. D. Li, H. Dong, L. Xu, and Z. Song, “Multi-objective energy management strategy with trade-off analysis for marine electric propulsion systems,” in 2025 IEEE Vehicle Power and Propulsion Conference (VPPC), 2025.
  4. D. Li, H. Dong, L. Xu, and Z. Song, “Direct data-driven predictive control: A computationally efficient approach for eco-driving in mixed traffic flows,” in 2026 American Control Conference (ACC), 2026, accepted.