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EN
The fleet of electric vehicles is systematically growing. Many passenger car manufacturers are already reporting that after 2030, vehicles equipped with electric propulsion will account for half of the models produced. Vehicles equipped with an electric drive include: battery-powered electric vehicles, hybrid electric vehicles and fuel cell electric vehicles. Over the years, these vehicles have undergone constant change. The aim of this paper was to review trends in the development of pure electric vehicles and plug-in hybrid vehicles.
EN
The article presents a mathematical model demonstrating the synergy of HEV energetic machines in accordance with the model predictive control. Then the results of road tests are presented. They were based on the factory control of the above-mentioned system. The results of the operating parameters of the system according to the factory control and the results of the operating parameters according to the model predictive control were compared. On their basis, it could be concluded that the model predictive control contributed to changes in the power and electrochemical charge level of the energy storage system from 50.1% (the beginning) to 56.1% (the end of course) and for MPC from 50.1% (the beginning) to 59.9% (the end of the course). The applied MPC with 13 reference trajectories (LQT) of power machines of the series-parallel HEV allowed for fuel savings on the level of 4%.
EN
Hybrid electric vehicles (HEVs) have an increasing presence in passenger transport segment. They have been designed to minimize energy consumption and pollutant emission. However, the actual performance of HEVs depends on the dynamic conditions in which they are used, and vehicle speed is one of the key factors. A lot of excess emission and fuel consumption can be attributed to rapid changes of vehicle speed, i.e. accelerations and decelerations. On the other hand, dynamic driving favours energy recovery during braking. This study examines the relationship between HEVs speed, pollutant emission and fuel consumption. The considerations were based on the results of testing vehicles in WLTC and NEDC driving cycles, performed on a chassis dynamometer. The test objects were two light-duty passenger vehicles, one with series-parallel, gasoline-electric hybrid system and the other, used as a reference, with conventional spark-ignition engine. Both vehicles had similar technical parameters and combustion engines supplied with gasoline. The driving cycles were divided into several parts according to the speed range. For each part, pollutant emission and fuel consumption were determined and appropriate values of selected parameters of driving pattern were calculated. Combining the results of empirical research and calculated parameters allowed to obtain characteristics. Their analysis provided valuable insight into the impact of driving pattern on actual emission and fuel consumption of HEV.
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