Open AccessParameters and control optimisation of hybrid vehicle based on simulation model
Author(s) -
Wang Jiayi,
Liu Xinhui,
Wang Xin,
Sun Kui,
Zheng Boyuan
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.8965
Subject(s) - chassis , computer science , matching (statistics) , process (computing) , hybrid system , truck , fuel efficiency , set (abstract data type) , control (management) , automotive engineering , control variable , simulation , engineering , artificial intelligence , mathematics , statistics , structural engineering , machine learning , programming language , operating system
It is generally difficult to obtain accurate optimisation functions during parameters matching and optimisation process of the hybrid system, especially in the optimisation variable field containing both a continuous set and a discontinuous set and when the control strategy has an important influence on the system performance. To aim at the fuel economy of the parallel hydraulic hybrid system, a global parameter matching and control strategy based on the simulation model were proposed. The AMESim simulation model as the judgment module of the optimisation algorithm was used to match and optimise the main parameters and control strategies in the hybrid system. The communication of underlying parameters was developed by the VBA in EXCEL platform. Parameters match was implemented on a truck crane chassis in practice. The test results indicated that the rate of fuel saving reached 15.2%, which was generally consistent with the theoretical analysis. The parameters were met the energy‐saving requirements of hybrid vehicles.