Lei Cai (蔡磊)

Ph.D, Lecturer

I am currently in the School of Computer Science at the Xi’An University of Technology (西安理工大学).

My research is on evolutionary computation, computational intelligence, particularly in the following topics:

• Multi- and many-objective optimization
• Data-driven optimization
• Battery diagnostics and performance prediction
• Energy storage system design and energy management
• Deep learning and corresponding algorithms

Contact

• School of Computer Science, Xi’an University of Technology, China, 710048
• Email:
• Google Scholar
• Github: leicai on Github

Recent News

• [New Paper, Dec. 2024] Read our Work: A two-stage method with twin autoencoders for the degradation trajectories prediction of lithium-ion batteries on Journal of Energy Chemistry.
• [New Paper, Oct. 2024] Read our work: A synthetic data generation method and evolutionary transformer model for degradation trajectory prediction in lithium-ion batteries on Aplied Energy.
• [New Paper, Apr. 2024] Read our work: An Empirical-informed Model for the Early Degradation Trajectory Prediction of Lithium-ion Battery on IEEE Transactions on Energy.
• [New Paper, Feb. 2024] Read our work: Automatically constructing a health indicator for lithium-ion battery state-of-health estimation via adversarial and compound staked autoencoder on Journal of Energy Storage