Stanford Energy Control Lab Simona Onori
Simona Onori

Boosting Military Vehicle Hybridization – developing modeling, simulation and control tools for optimal energy storage devices selection

Hybridization of military vehicles is a result of increasing battlefield fuel cost, higher onboard power demand for advanced accessories, and silent watch mission requirements. The US military fleet includes a wide range of vehicles, each with different weights, sizes, and mission goals. Within the fleet, the current challenge is the determination of the level of electrification, and the selection of the most suitable energy storage and conversion devices depending on performance requirements, onboard power demand, and mission types

We believe that the approach “one-energy storage fits all” is not the optimal one, both in terms of cost, obtainable performance (especially over considerable duration of time) and over different environmental conditions.  To that end, the aim of this research is to systematically address the following questions: i) What is the optimal (with respect to a predefined cost function) energy storage technology for the application of interest? ii) Will a single energy storage system suffice, or is there a need for a hybrid energy storage system? And if so, what are their optimal sizes?

We also look at addressing the issue of design scalability. We employ modeling, simulation, energy analysis and optimization tools to address the above concerns in a systematic manner.

RELEVANT PUBLICATIONS

  • Mamun, A., Liu, Z., Rizzo D., Onori, S., “An Integrated Design and Control Optimization Framework for Hybrid Military Vehicle using Lithium-ion and Supercapacitor,” IEEE Transactions on Transportation Electrification,  Vol. 5, Issue 1, pp. 239-251, 2019
  • Liu, Z., Mamun, A., Rizzo D., Onori, S., “Combined Battery Design Optimization and Energy Management of a Series Hybrid Military Truck,” SAE Int. J. Alt. Power, 7(2) pp. 155-168, 2018
  • Liu, Z., Mamun, A., and Onori, S., “Simultaneous Design and Control Optimization of a Series Hybrid Military Truck,” SAE Technical Paper 2018-01-1109, 2018