AI-based optimization of PEM fuel cell catalyst layers for maximum power density via data-driven surrogate modeling
Sign Up to like & getrecommendations! Published in 2020 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2019.112460
Abstract: © 2020 Elsevier Ltd Catalyst layer (CL) is the core electrochemical reaction region of proton exchange membrane fuel cells (PEMFCs). Its composition directly determines PEMFC output performance. Existing experimental or modeling methods are still insufficient… read more here.
Keywords: surrogate model; data driven; maximum power; model ... See more keywords
A Review of Data-Driven Surrogate Models for Design Optimization of Electric Motors
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Transportation Electrification"
DOI: 10.1109/tte.2024.3366417
Abstract: Electric motor is one of the core components of electronic propulsion systems and play an essential role in the industry. The optimal design of an electric motor poses a complex nonlinear problem, often challenging traditional… read more here.
Keywords: driven surrogate; surrogate models; design optimization; electric motors ... See more keywords