Optimization Approach to Hybrid Electric Propulsion System Design∗

TLDR

Eco‑friendly ground vehicles must balance fuel efficiency, performance, and emissions to surpass conventional vehicle capabilities. The study aims to integrate hybrid electric vehicle simulations with high‑fidelity engine modules to improve prediction accuracy and support concept‑stage design studies. Engine and vehicle models are linked via a modified feed‑forward engine model, an engine‑component scaling routine is added, and a design‑optimization framework selects the optimal engine size, battery pack, and motor combination to minimize fuel consumption under US government performance criteria.

Abstract

Abstract Environmentally friendly ground vehicles with range and performance capabilities surpassing those of conventional vehicles require a careful balance among competing goals for fuel efficiency, performance, and emissions. The research objective here is to integrate hybrid electric vehicle simulations with high-fidelity engine modules, to increase the accuracy of predictions, and to allow design studies in the concept evaluation stage. This paper describes a methodology for integrating vehicle and engine simulations. The feed-forward model of the engine is modified to allow its linking with the vehicle model, and an engine component scaling routine is added to facilitate system sizing studies. A design optimization framework is then used to find the best overall engine size, battery pack, and motor combination for minimum fuel consumption within proposed US government performance criteria.