Lithium-ion batteries exhibit coupled electro-chemo-mechanical phenomena that influence performance, durability, and safety. Capturing these interactions requires advanced Multiphysics approaches capable of bridging length scales. While recent advances have demonstrated promising capabilities (see e.g. [1]), challenges remain in accurately representing swelling-induced deformations and stresses under operational conditions and mechanical constraints. In this presentation, we will present recent developments in homogenization strategies for upscaling microscale cyclic swelling of electrodes to the macroscale cell response [2-3]. By incorporating material characteristics at different length scales, the effective swelling coefficients for electrode layers can be estimated, accounting for e.g., particle expansion due to Li-ion intercalation, and the resulting anisotropic swelling of the electrode stack during cycling. This approach provides a systematic framework for evaluating coupled electro-chemo-mechanical effects, across different length scales, during operation. We will also present ongoing efforts to integrate artificial intelligence and machine learning techniques for linking electrochemical and mechanical models, aiming to enhance predictive capability and computational efficiency when needed. The talk will highlight some key challenges, recent progress, and future directions toward comprehensive frameworks that incorporate electrochemical, thermal, and mechanical phenomena for computationally guided designs of next-generation battery systems. REFERENCES [1] S. Kulathu, J.A. Hurtado, K. Bose, Y. Hahn, P.A. Bouzinov, R.L. Taylor and V. Oancea. A three-dimensional thermal-electrochemical-mechanical-porous flow multiscale formulation for battery cells. International Journal for Numerical Methods in Engineering, Vol. 125, 7464. [2] A. Matty. Modelling of electrode swelling in lithium-ion batteries. Master Thesis Chalmers University of Technology, 2025. [3] D. Carlstedt, A. Chetry, C. Larsson, A. Purantagi, P. Gustavsson, F. Larsson and L.E. Asp. Multiscale Modeling and Calibration Framework for Predicting the Mechanical Response of Li-ion Battery Cell Components. Journal of Power Sources, Vol. 659, 238237, 2025.