Journal
APPLIED THERMAL ENGINEERING
Volume 135, Issue -, Pages 145-157Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.applthermaleng.2018.02.028
Keywords
Battery cooling; Optimization; Multi-objective; Interface-enriched generalized finite element; method; Microvascular composites; MicroChannel network
Funding
- DEMS Program of the NSF Division of Civil, Mechanical and Manufacturing Innovation [1436720]
- Air Force Office of Scientific Research National Defense Science and Engineering Graduate (NDSEG) Fellowship [32 CFR 168a]
- Center for Electrical Energy Storage - DOE Office of Basic Energy Sciences [615 DOE ANL 9F-31921]
- Directorate For Engineering
- Div Of Civil, Mechanical, & Manufact Inn [1436720] Funding Source: National Science Foundation
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Building on a recently developed optimization method based on an interface-enriched generalized finite element method, multiple objective functions are considered for the optimization of 2D networks of microchannels embedded in battery-cooling panels. The objective functions considered in this study are a differentiable alternative to the maximum temperature (the p-mean of the temperature), the pressure drop and the variance of the temperature. The f-constraint method and the normalized normal constraint method are used to generate the pressure-temperature Pareto optimal front of the multi-objective optimization problem. The effects of different operating constraints/conditions such as localization of heat sources, prescribed pump power and imposed flow rate on the optimal designs are investigated. In addition to the topology of the embedded network, the cross sections of the microchannels are also introduced as design parameters to further improve the pressure drop of the designs. The resulting variable-cross-section optimized design is validated with experiment.
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