Title: Multi-parametric programming-based energy control strategy for parallel hybrid heavy-duty truck

Authors: Stefano Agostoni; Federico Cheli; Ferdinando Luigi Mapelli; Chen Tao; Davide Tarsitano; Luo Yugong; Tang Yuhuan

Addresses: Mechanical Engineering Department, Politecnico di Milano, via la Masa 1, 20161, Milan, Italy ' Mechanical Engineering Department, Politecnico di Milano, via la Masa 1, 20161, Milan, Italy ' Mechanical Engineering Department, Politecnico di Milano, via la Masa 1, 20161, Milan, Italy ' Department of Automotive Engineering, Tsinghua University, Beijing 100084, China ' Mechanical Engineering Department, Politecnico di Milano, via la Masa 1, 20161, Milan, Italy ' Department of Automotive Engineering, Tsinghua University, Beijing 100084, China ' Department of Automotive Engineering, Tsinghua University, Beijing 100084, China

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.

Keywords: parallel hybrid heavy duty trucks; energy control; control strategy; multi-parametric programming; mixed logical dynamic models; MLD; dynamic modelling; simulation; fuel economy; heavy vehicles.

DOI: 10.1504/IJHVS.2016.077323

International Journal of Heavy Vehicle Systems, 2016 Vol.23 No.3, pp.244 - 263

Received: 04 Feb 2014
Accepted: 13 Jan 2015
Published online: 28 Jun 2016 *

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