Low-code development platforms (LCDPs) are becoming increasingly important in industry,
which confronts us in academic teaching with the challenge of educating students in the …

We present and evaluate a method called grammar masking, which is used to guide large
language models (LLMs) toward producing syntactically correct models for a given context …

The optimization of energy consumption applied to the hybrid electric vehicle (HEV) with a
parallel architecture seems to be one of the important challenges to decrease fuel …

Motivated by challenges in the motor manufacturing industry, a solution to reduce
computation time and improve minimisation performance in the context of optimisation of …

Hybrid electric vehicles use control strategies to distribute the torque requested by the driver
between the internal combustion engine and the electrical motor. Many different types of …

This paper focuses on the development of an efficient modern control technique for the
power split hybrid electric vehicles (PSHEV). This technique depends on a fuzzy logic which …

This paper focuses on the development of efficient modern control technique for the power
split hybrid electric vehicle PSHEV. This technique depends on a genetic algorithm which is …

This bachelor thesis has the topic to examine, whether it is possible to learn a control
strategy for hybrid electric vehicles using artificial neural networks. In the course of this …

In the past years, hybrid electric vehicles (HEVs) have become increasingly popular as they
allow to combine the advantages of full electric vehicles and the advantages of vehicles with …

This paper presents a particle swarm optimization algorithm (PSO) as a control strategy for
the offline driving cycle to obtain the best torque distribution between the two sources …