Authors: Yanwei Liu; Yuzhong Chen; Zhenye Li; Kegang Zhao
Addresses: School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, 510006, China ' School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, 510006, China ' School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, 510006, China ' National Local Engineering Laboratory of Automobile Parts Technology, South China University of Technology, #381 Wushan Road, Tianhe District, Guangzhou, 510641, China
Abstract: Energy management of the fuel cell hybrid electric vehicles (FCHEVs) is vital with respect to improving FCHEV's performance and durability. Radau Pseudospectral method (RPM)-based optimal control of energy management of FCHEV is proposed to optimise the fuel cell's lifetime by means of reducing its performance degradation. To utilise the RPM, both state and control variables are approximated by global interpolation polynomials, and differential equations of state variables are approximated by the derivatives of interpolation polynomials. Accordingly, the optimal control problem is transformed into nonlinear problem to be solved. The fuel cell's performance degradation is selected as objective function. The optimal results in NEDC show that battery with larger capacity is more beneficial than smaller one for reducing the fuel cell's performance degradation, with the total time of large load change of the fuel cell reducing. The RPM is also an effective way to optimise other objectives to energy management.
Keywords: energy management; fuel cell vehicle; electric vehicle; fuel cell degradation; hybrid power system; RPM; Radau Pseudospectral method; optimal strategy; optimal control; state of charge; hydrogen consumption.
International Journal of Vehicle Performance, 2021 Vol.7 No.3/4, pp.303 - 323
Received: 19 Mar 2020
Accepted: 28 Jun 2020
Published online: 07 Jul 2021 *