NCMS Project #: 142132
Problem: In the ground vehicle field, a comprehensive energy availability, or exergy-based modeling of the powertrain components and of their interactions and interconnections would allow designers, maintainers and decision makers to classify (for example in terms of thermal exchange, aerodynamic drag, entropy generation in combustion reactions) and quantify inefficiencies, enabling the assessment of how these losses propagate across the powertrain during the vehicle operation. This information has the potential to enable the development of vehicle and powertrain-level optimization and control strategies aiming at minimizing exergy losses.
Benefit: For the public, such energy management strategies can be transferred and used on civilian vehicles, where the optimal usage of the vehicle will have the benefits of extending its lifetime, increase sustainability, and reduce maintenance operation while lowering ownership costs. For the military, the development of such exergy management strategies would allow maximizing the effectiveness and efficiency of the powertrain and meet the tactical mission specifications, for example, by minimizing the vehicle’s thermal/noise signatures, enabling stealthier operations when required.
Solution/Approach: This initiative will strive to further exploit the exergy-based modeling framework, by formulating and implementing offline and online exergy management strategies aimed at minimizing exergy losses or, in other words, the sources of inefficiency in the powertrain. For hybrid electric vehicles (HEVs), a detailed internal combustion engine (ICE) model will be developed using laboratory operating engine data provided by Clemson University.
Impact on Warfighter:
- Minimize exergy losses within the powertrain architecture
- Reduce maintenance and lifecycle sustainment costs
- Decrease carbon footprint
- Increase warfighter readiness and lethality
- U.S. Navy
- U.S. Fleet Forces Command
- U.S. Air Force (observer)
- U.S. Marine Corps (observer)
- Stanford University
- Clemson University
- Cost savings
- Maintenance avoidance and reliability
- Reliability improvement
- Business IT and analytics