Abstract
The European Union legislation have introduced regulations on emission reduction for light duty vehicles. Therefore, economy remains a key challenge for automotive engineers. To enable a realistic dual clutch transmission (DCT) system performance evaluation, this paper main objective is development of an IPG Carmaker hybrid vehicle model connected to the testbed with an internal combustion engine by a hardware-in-the-loop (HiL) real time simulation, where the electric powertrain is virtual and it is defined in the application. The specific objective is to develop new shifting schedule of the DCT to optimize the performance of the vehicle. The working principle and dynamic characteristics of the DCT system are first explored. In the second part of the work, the strategy and simulation concern the major part of this work, in order to develop new gear shifting strategy algorithms to evaluate the fuel and electric current consumption over the homologation Worldwide Harmonized Light Vehicles Test Procedure (WLTP) driving cycle. Finally, the simulation results in the HIL environment were evaluated and presented. The constructed model is based on an existing hybrid vehicle. The model was simulated to obtain data regarding the vehicle performance, energy consumption and state of charge on the new WLTP test cycle.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Nezhadali, V., Eriksson, L.: A framework for modeling and optimal control of automatic transmission systems. IFAC-Papers OnLine 48, 285–291 (2015). https://doi.org/10.1016/J.IFACOL.2015.10.041
Ngo, D.V.: Gear shift strategies for automotive transmissions (2012)
Varga, B., Mariasiu, F., Moldovanu, D., Iclodean, C.: Electric and plug-in hybrid vehicles advanced simulation methodologies (2015)
Chaker, S., Folie, M., Kehrer, C., Huber, F.: Anticipatory Shifting optimization of a transmission control unit for an automatic transmission through advanced driver assistance systems (2015)
Meng, F., Tao, G., Zhang, T., Hu, Y., Geng, P.: Optimal shifting control strategy in inertia phase of an automatic transmission for automotive applications. Mech. Syst. Signal Process. 60–61, 742–752 (2015). https://doi.org/10.1016/J.YMSSP.2014.12.025
Ngo, D.V., Hofman, T., Steinbuch, M., Serrarens, A., Merkx, L.: Improvement of fuel economy in Power-Shift Automated Manual Transmission through shift strategy optimization—an experimental study. In: 2010 IEEE Vehicle Power and Propulsion Conference, pp. 1–5 (2010)
Ni, C., Lu, T., Zhang, J.: Gearshift control for dry dual-clutch transmissions. WTOS 8, 1177–1186 (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Norbert, B., Bogdan-Ovidiu, V., Dan, M., Aron, C., Dimitrios, K. (2019). Optimizing Shifting Schedule and Hardware-in-the-Loop Simulation of a Hybrid Vehicle Based on Dual Clutch Transmission. In: Burnete, N., Varga, B. (eds) Proceedings of the 4th International Congress of Automotive and Transport Engineering (AMMA 2018). AMMA2018 2018. Proceedings in Automotive Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-94409-8_36
Download citation
DOI: https://doi.org/10.1007/978-3-319-94409-8_36
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-94408-1
Online ISBN: 978-3-319-94409-8
eBook Packages: EngineeringEngineering (R0)