Multi-parametric programming-based energy control strategy for parallel hybrid heavy-duty truck Online publication date: Tue, 28-Jun-2016
by Stefano Agostoni; Federico Cheli; Ferdinando Luigi Mapelli; Chen Tao; Davide Tarsitano; Luo Yugong; Tang Yuhuan
International Journal of Heavy Vehicle Systems (IJHVS), Vol. 23, No. 3, 2016
Abstract: This paper develops an energy control strategy based on a multi-parametric programming control algorithm for a parallel hybrid heavy-duty truck. First, based on the non-linear characteristics and multiple working modes of the heavy-duty truck, a set of piecewise linear models including longitudinal dynamics, engine and electric motor are established and synthesised to a mixed logical dynamic (MLD) model. Then, an objective function for achieving the best fuel economy is formulated and the optimal control law is analytically calculated using a multi-parametric programming algorithm. Finally, the simulation of the hybrid heavy-duty truck model is conducted under UDDSHDV drive cycle and the result shows that the multi-parametric programming energy control strategy can effectively improve fuel economy compared to the traditional heavy-duty truck simulation model with the same engine.
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