The possibility of energy consumption reduction using the ECO driving mode based on the RDC test
| Autor: | Jacek Golimowski, Wojciech Cieślik, Filip Szwajca |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
business.product_category
Powertrain 020209 energy powertrain energy flow 02 engineering and technology 010501 environmental sciences 01 natural sciences lcsh:Technology Automotive engineering Reduction (complexity) Energy flow Electric vehicle 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering driving mode 0105 earth and related environmental sciences lcsh:T electric vehicle regenerative braking Energy consumption Atomic and Molecular Physics and Optics Regenerative brake Driving mode Environmental science business |
| Zdroj: | Combustion Engines, Vol 182, Iss 3, Pp 59-69 (2020) |
| ISSN: | 2658-1442 2300-9896 |
| Popis: | The greenhouse effect and overall climate changes are the main reasons for developing ecological powertrain units dedicated to road vehicles. An electrical drivetrain without using conventional combustion engines fueled by hydrocar-bon fuels is an effective method to significantly reduce CO2 emissions from the fleet. It is particularly vital in 2020 emis-sion regulations aspects, and continuously the number of vehicles increasing. In this paper battery electric drive system of a small size passenger car was analyzed in terms of two different drive modes in cooperation with two recuperative braking modes. The research was carried out with real driving condition test requirements and driving parameters re-cording. Based on data obtained from OBD signals, energy flow and torque distribution have been specified. In results, overall reducing energy consumption has been achieved with ECO mode compared to normal mode. Selection of the driving mode ECO has a positive impact on reducing the state of charge saving more than 5%, taking into account the whole RDC test; greater energy consumption reductions were observed in selected test areas. |
| Databáze: | OpenAIRE |
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