Multi-parametric programming-based energy control strategy for parallel hybrid heavy-duty truck. (2016)

• Record Type: Journal Article
• Authors: Agostoni, Stefano; Cheli, Federico; Mapelli, Ferdinando Luigi; Tao, Chen; Tarsitano, Davide; Yugong, Luo; Yuhuan, Tang
• Is Part Of: International journal of heavy vehicle systems. Volume 23:Number 3(2016)
• Page Start: 244
• Page End: 263
• Publication Date: 2016
• Subjects: parallel hybrid heavy duty trucks -- energy control -- control strategy -- multi-parametric programming -- mixed logical dynamic models -- MLD -- dynamic modelling -- simulation -- fuel economy -- heavy vehicles; Motor vehicles -- Design and construction -- Periodicals; Commercial vehicles -- Design and construction -- Periodicals; Motor vehicles -- Design and construction; Periodicals; 629.224
• Languages: English
• ISSNs: 1744-232X

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.