Thermal Performance Benchmarking
The goal for this project is to thoroughly characterize the thermal performance of state-of-the-art (SOA) in-production automotive power electronics and electric motor thermal management systems. Information obtained from these studies will be used to: evaluate advantages and disadvantages of different thermal management strategies; establish baseline metrics for the thermal management systems; identify methods of improvement to advance the SOA; increase the publicly available information related to automotive traction-drive thermal management systems; help guide future electric drive technologies (EDT) research and development (R&D) efforts. The thermal performance results combined with component efficiency and heat generation information obtained by Oak Ridge National Laboratory (ORNL) may then be used to determine the operating temperatures for the EDT components under drive-cycle conditions. In FY16, the 2012 Nissan LEAF power electronics and 2014 Honda Accord Hybrid power electronics thermal management system were characterized. Comparison of the two power electronics thermal management systems was also conducted to provide insight into the various cooling strategies to understand the current SOA in thermal management for automotive power electronics and electric motors.
- Publication Date:
- OSTI Identifier:
- Report Number(s):
- DOE Contract Number:
- Resource Type:
- Resource Relation:
- Conference: Presented at the Vehicle Technologies Office (VTO) Annual Merit Review and Peer Evaluation, 6-10 June 2016, Washington, D.C.
- Research Org:
- NREL (National Renewable Energy Laboratory (NREL), Golden, CO (United States))
- Sponsoring Org:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
- Country of Publication:
- United States
- 33 ADVANCED PROPULSION SYSTEMS thermal performance; automotive power electronics; electric motors; management strategies; hybrid
Enter terms in the toolbar above to search the full text of this document for pages containing specific keywords.