Shanghai Institute of Measurement and Testing Technology

Chance-constrained model predictive control with online gaussian process learning reduces battery degradation in vehicle-to-grid service

Vehicle-to-grid (V2G) duty cycles are noisy and high-rate, and the capacity fade they cause is poorly described by the empirical, fixed-parameter degradation laws built into today’s model predictive control (MPC) battery managers. The controller sees a single number where it shou...

Wireless Temperature-Sensing System for Liquid-Nitrogen Biobanks

Liquid-nitrogen biobanks need temporary, spatially distributed temperature records, but conventional batteries and radios become unreliable far below their rated operating temperatures. We developed a finite-duration wireless logging system that separates sensing and communicatio...

Physics-constrained multi-output cGAN for efficient prediction of triaxial tyre-road contact stresses

Accurate characterization of the triaxial contact stress field at the tyre-road interface is crucial for tyre design and pavement analysis; however, classic measurements and finite-element (FE) simulations are both costly and time-consuming. This paper presents a physically const...