access icon openaccess Parameters and control optimisation of hybrid vehicle based on simulation model

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received 28/09/2018, Accepted 12/10/2018, Published 19/10/2018

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.

Inspec keywords: optimisation; cranes; mechanical engineering computing; road vehicles; hydraulic systems; fuel economy

Other keywords: truck crane chassis; parallel hydraulic hybrid system; optimisation algorithm; hybrid vehicle; control strategy; fuel economy; EXCEL platform; AMESim simulation model; global parameter matching

Subjects: Automobile industry; Road-traffic system control; Civil and mechanical engineering computing; Mechanical engineering applications of IT; Optimisation; Control of hydraulic systems; Materials handling equipment; Optimisation techniques; Fluid mechanics and aerodynamics (mechanical engineering)

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