Emre Kural

Optimal energy management and recovery for FEV

This paper briefly describes the latest achievements of a new functional vehicle system to overcome the range anxiety problem of Fully Electric Vehicles (FEV). This is primarily achieved by integrated control and operation strategies to optimize the driving range. The main focus of these control strategies is cooperated electric drivetrain and regenerative braking system. The diverse source of information with on-board and off-board sensors, including navigation system, satellite information, car-to-car, car-to-infrastructure communication and radar and camera systems are primarily utilized to maximize the energy efficiency and correspondingly the range of the FEV.

Advanced co-simulation HMI environment for fully Electric Vehicles

Todays Electric Vehicles (EVs) have limited driving ranges. Therefore, great efforts are being made in this direction, e.g. higher capacity batteries, powertrain efficiency, etc. This paper aims at gathering the information concerning the process of HMI concept definition, development and integration in an advanced co-simulation environment as a support tool for specific function development process in the OpEneR project. In order to do so, specific interfaces to the complex co-simulation tool chain employed in the project were defined and demonstrated in this paper. Additionally, a mock-up demonstrator was built which allowed for testing of specific functions as well as of HMI software.

Optimal Energy Efficiency, Vehicle Stability and Safety on the OpEneR EV with Electrified Front and Rear Axles

This paper relates to the European publicly funded project OpEneR. A central field of research and development in this co-operative project, is energetically optimal operation of the twin electric axle drivetrain of the fully electrified OpEneR prototype cars. Advanced operation strategies for the two 50 kW e-machines are being developed, which consider both energetically optimal propulsion and energetically optimal braking of the vehicle. Both e-machines are used in such a way, that the maximum possible amount of energy can be electrically recovered. However, during electrical recuperation the impact of the brake force distribution on the vehicle’s stability, e.g. during braking on split–μ surfaces, and thus safety, has to be carefully considered. In this work, an advanced co-simulation approach which allows the virtual evaluation of different electrical recuperative braking, frictional braking and related control strategies is described.

Safety Simulation in the Concept Phase: Advanced Co-simulation Toolchain for Conventional, Hybrid and Fully Electric Vehicles (

Modern vehicle powertrains include electronically controlled mechanical, electrical and hydraulic systems, such as double clutch transmissions (DCT), powerful regenerative braking systems and distributed e-Machines (EM), which leads to new safety challenges. Functional failure analysis of events such as the sudden failure of a DCT or EM, and the development and the validation of suitable controllers and networks, can now be evaluated using co-simulation techniques, from the early stages of product development. A co-simulation toolchain with a 3D vehicle and road model, coupled with a 1D powertrain model, is used to enable the definition of hardware and software functions, and also to support the rating of the Automotive Safety Integrity Level (ASIL) during hazard analysis and risk assessment in the context of ISO 26262. This innovative approach may be applied to a wide range of powertrain topologies, including conventional, hybrid electric and fully electric, for cars, motorcycles, light or heavy duty truck or bus applications.