Abstract
In this article the development and use of a data acquisition system for the optimization of hybrid propulsion systems is proposed. This versatile system can be used for different hybrid driveline architectures and for off- and on-road data logging. It retrieves the necessary parameters to develop or assess the power flow control algorithm of the vehicle under test, in order to optimize the driveline and reduce energy consumption and emissions. It is based on a cRIOTM programmable controller of National Instruments in combination with dedicated sensors and interfaces for the data acquisition of electrical and mechanical parameters. The assets and configuration of the system are discussed. Experimental data are given and discussed. In addition the HEV simulation platform developed in parallel is briefly described.
Highlights
The future shortage of fossil energy resources as well as the daily increasing evidence of global climate changes, urge many to decrease energy consumption
EVS24 International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium monitor a multitude of parameters simultaneously
The set-up has been designed to be versatile and flexible. It can be used for any hybrid topology
Summary
The future shortage of fossil energy resources as well as the daily increasing evidence of global climate changes, urge many to decrease energy consumption. Once the topology is chosen, an adequate power flow control algorithm has to be applied [4,5]. This algorithm is an extremely important factor in the optimization of the driveline efficiency. In this paper we propose a measurement setup that is able to retrieve the necessary power flow parameters in a continuous way and real-time. It is based on a NI cRIO-DAQ, allowing one to EVS24 International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium. Comparing the measurements with the simulated results can 1: yield suggestions for improving the power flow management of the vehicle and 2: evaluate and improve the accuracy of the simulation platform
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