ASTERICS – Advanced Simulation Models and Accelerated Testing for the Development of Electric Vehicles

The development of Electric Vehicles (EV's), either fully electric (BEV…battery electric vehicle) or different hybrids (like HEV…hybrid electric vehicles or PHEV…plug-in hybrids), is an undeniable prerequisite to fulfill the worldwide emission targets for transport even within the next 10-15 years. The conventional development methods and tools on the other hand, are so far only optimized for the development of vehicles with internal combustion engines only and not well designed to develop EV's at all. To close this gap, the research in ASTERICS is focused on simulation and testing methods as well as tools that enable the optimal, cost efficient and safe development of EV's. Realistic driving cycles for e-vehicles, models for e-components, test procedures, test equipment and tools as well as system simulation and evaluation have been investigated in this project, which lasted 3 years (Oct. 2012 – Sept. 2015) and involved 10 partners.

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[2]  D. A. Howey,et al.  Dielectric characteristics of electric vehicle traction motor winding insulation under thermal ageing , 2015, 2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC).

[3]  Howard W. Penrose Evaluating reliability of insulation systems for electric machines , 2014, 2014 IEEE Electrical Insulation Conference (EIC).

[4]  Yihua Hu,et al.  Multiobjective Design Optimization of IGBT Power Modules Considering Power Cycling and Thermal Cycling , 2015, IEEE Transactions on Power Electronics.

[5]  Patrick Guerin,et al.  Simulation of Real-World Vehicle Missions Using a Stochastic Markov Model for Optimal Powertrain Sizing , 2012, IEEE Transactions on Vehicular Technology.

[6]  Reza Ghorbani,et al.  Drive Cycle Generation for Design Optimization of Electric Vehicles , 2013, IEEE Transactions on Vehicular Technology.

[7]  Samarjit Chakraborty,et al.  Battery- and Aging-Aware Embedded Control Systems for Electric Vehicles , 2014, 2014 IEEE Real-Time Systems Symposium.

[8]  Qiang Song,et al.  Compilation of dynamic efficiency test cycle for motor propulsion system on hybrid electric vehicle , 2010, 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems.