6 papers
ThermoForce: A Physics-Structured Interventional World Model for Building HVAC Control
Yifan Wang
Model predictive control (MPC) of building HVAC systems needs thermal models that answer a causal question: what indoor temperature, energy use, and comfort will result if a contro…
Battery thermal-safety reserve erosion by mandatory cabin ventilation in shared-cooling electric vehicles
Yifan Wang
Hot-weather electric-vehicle thermal management is no longer a separate cabin and battery problem. A single climate system must cool the traction battery, maintain passenger comfor…
SPADE: Structure-Prior Adaptive Decision Estimation
Yifan Wang
Physical-structure priors such as conservation laws, Hamiltonian forms, and symmetries can improve scientific machine learning when correct, but can degrade predictions when misspe…
Where Is My Physics Wrong? Localized and Identifiable Discovery of Model Discrepancy
Yifan Wang
Hybrid models combine trusted physics with data-driven correction, but a physical model is rarely wrong everywhere or in the same way. The key diagnostic question is local: where d…
Physics-Informed Predictive Control for Integrated Electric-Vehicle Thermal Management: An Open, Real-Data-Anchored Benchmark
Yifan Wang
Thermal management in a battery-electric vehicle (BEV) is a coupled, vehicle-level problem: the battery pack, the passenger cabin, the heat pump, and cabin air quality compete for…
When Dynamics Models Read the Wrong Time Steps: Label-Free Event Credit Re-Anchoring for Robust Global Readouts
Yifan Wang
Learned dynamics models often answer global physical questions, such as fault severity or impact stiffness, by pooling a per-step feature sequence into one readout vector. This seq…