Abstract
Hybrid powertrains that combine electric machines and internal-combustion engines offer substantial opportunities to increase the energy efficiency and minimize the exhaust emissions of vehicles and nonroad working machines. Due to the wide range of applications of such powertrains, simulation tools are used to evaluate and compare the energy efficiency of hybrid powertrains for application-specific working cycles in virtual environments. Therefore, the accurate modeling of the powertrain components of a hybrid system is important. This paper presents an agile calculation tool that can generate realistic fuel consumption data of a scalable diesel engine. This method utilizes a simple efficiency model of the combustion and crank train friction model to generate the fuel consumption map in the operating area of a typical diesel engine. The model parameters are calibrated to produce accurate fuel consumption data in the initial phase of system-level simulations. The proposed method is also validated by using three real engine datasets, and the comparison of results is presented.
Highlights
Tightening emission regulations and energy-efficiency demands are key drivers for the electrification of transportation and nonroad mobile machines
Hybrid electrical vehicles (HEV) provide the potential to reduce fuel consumption and diminish CO2 emissions, since the workload of the machine is distributed between an internal-combustion engine (ICE) and electrical energy storage
Special attention should be paid to the efficiency and specific fuel consumption maps of diesel engine operation to aid in the estimation of fuel consumption in the system’s dynamic simulation [1]
Summary
Tightening emission regulations and energy-efficiency demands are key drivers for the electrification of transportation and nonroad mobile machines. An engine model for passenger car driving cycle simulations was developed in [21], where the intake air pressure and instant volumetric efficiency were taken from an experimental look-up table, and the fuel injection and heat release rate were modeled using complex nonlinear correlation formulas Such models are too complex for concept-phase study and require a large amount of experimental data from existing engines. This study presents an agile calculation tool that can generate realistic diesel engine data for the purpose of developing powertrains for working machines This method utilizes a simple engine-efficiency model and crank train friction model to generate a realistic engine fuel consumption map in a wide operating area of the engine. The presented calculation tool with calibrated parameters produces an accurate and realistic behavior of fuel consumption and shaft power outputs without using large amounts of experimental data or complex physics-based engine models. The comparison between calibrated and uncalibrated calculation results is presented
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