Alexander Koch

Technische Universität München | TUM · Institute of Automotive Technology

Eco-driving algorithms optimize the speed profile to reduce the energy consumption of a vehicle. This paper presents an eco-driving algorithm for battery electric powertrains that applies a split loss integration approach to incorporate the component losses. The algorithm consistently uses loss models to overcome the drawbacks of efficiency maps, w...

The standardized driving cycles, which are used around the globe for the development and homologation of automobiles, consist of a series of speed points versus time, to represent typical driving conditions and to exclude the influence of a human driver. However, with respect to autonomous vehicles (AVs), the driving style is defined in driving alg...

With the rise of battery electric vehicles to mass production, many technical improvements have been realized to drastically increase the electric range, efficiency, and sustainability. However, insights into those valuable state-of-the-art solutions are usually not shared with researchers due to the strict non-disclosure policies of electric vehic...

Vehicle doors have barely changed in recent decades, and nor has the car. Since autonomous driving will lead to changes in vehicles and how they are used, their doors will also have to be rethought. In the project UNICARagil, researchers from several universities in Germany design and build four prototypes of driverless and autonomous vehicles, whi...

Electrification and automatization may change the environmental impact of vehicles. Current eco-driving approaches for electric vehicles fit the electric power of the motor by quadratic functions and are limited to powertrains with one motor and single-speed transmission or use computationally expensive algorithms. This paper proposes an online non...

State of the art powertrain optimization compares the energy consumption of different powertrain configurations based on simulations with fixed driving cycles. However, this approach might not be applicable to future vehicles, since speed advisory systems and automated driving functions offer the potential to adapt the speed profile to minimize ene...

Automobile manufacturers are in the midst of the greatest phase of transformation in their history. The paradigms they used over recent decades are gradually dissolving. Two new megatrends are drastically changing the market. On the one hand, there is sustainability, which is causing the ever-increasing replacement of the combustion engine by the e...

The consideration of the thermal behavior of electric machines is becoming increasingly important in the machine design for electric vehicles due to the adaptation to more dynamic operating points compared to stationary applications. Whereas, the dependency of machine efficiency on thermal behavior is caused due to the impact of temperature on the...

Increasing automation of road-bound vehicles will lead to autonomous, driverless vehicle concepts. Although vehicle manufacturers are showing visions of such concepts, their design process is still not largely researched. New degrees of freedom will not only eliminate the driver’s workplace, but will also make it possible to pursue secondary activi...

This repository includes a component library for total vehicle simulations. It is developed at the Institute of Automotve Engineering and contains all relevant components for longitudinal full vehicle simulations. The repoisitory includes one longitudinal simulation model, which is parameterized with a parameter set of a real prototype vehicle and...

The automotive development process is highly complex and is getting more diverse with increasing possibilities in modeling, computing and analyzing. Especially in the electric vehicle sector, an increasing number of simulation methods exist, dealing with areas like propulsion systems, power supply and thermal management. In order to combine the kno...