Predictive Energy Management of Mild-Hybrid Truck Platoon using Agent-based Multi-Objective Optimization

The objective of this paper is to formulate and analyze the benefits a predictive non-linear multi optimization method for platoon mild-hybrid line haul trucks. In study group three trucks with hybrid electric powertrain are considered in formation where each truck has optimal control save fuel out any loss trip time. While controller on uses look ahead knowledge entire route terms road grade, overall used agent (Metropolis algorithm) define coordination between individual trucks, showed significant improvement economy when running mode, true savings came from promising results absolute without trading off total proposed algorithm also proved be significantly emission efficient. A 3 achieved an average 10% while cutting back 13% engine NOx emissions coasting 9.3% saving 8% reduction idle coast configuration compared non-predictive non-platoon configuration.