Abschluß/Zwischenbericht zum Forschungvorhaben /Studie über

Rheinisch-Westfälische Technische Hochschule Aachen · Institut für Stromrichtertechnik und Elektrische Antriebe
Universitätsprofessor Dr. ir. Rik W. De Doncker
Calling of a Diploma Thesis/Master Thesis:
Development of Diagnostic Algorithms for Hybrid and
Electric Vehicles using Soft-Computing Techniques
The battery management system (BMS) of battery-electric road vehicles must ensure an
optimal operation of the electrochemical storage system to guarantee for durability and
reliability. Besides the measurement hardware for data acquisition, the real key function of
the BMS is the corresponding algorithms that provide the necessary information about the
condition of the battery. Standard approaches may not achieve the necessary reliability;
therefore, in this work the relatively new approaches of soft-computing techniques (artificial
neural networks, fuzzy logic, evolutionary algorithms and chaos theory) shall be
investigated.
Artificial neural networks are computational adaptive models of nervous systems and able
to process information that is relative while adapting to changing environments. Fuzzy logic,
based upon fuzzy sets, map measured inputs to desired outputs by translating the behavior
of the system using defined rules based on linguistic representation with relative factors
that have changing levels of importance.
Therefore, in this work the student needs to investigate solutions for battery management
systems, focusing on those that use neural networks and fuzzy logic with the aim of
combining the benefits of artificial neural networks with fuzzy logic for the estimation of the
lithium-ion battery states (neuro-fuzzy).
The previous knowledge of batteries would be helpful, but can also be acquired after a
short learning curve. Experience needs to be provided for MATLAB / Simulink.
Diese Diplomarbeit/Masterarbeit ist geeignet für Studenten des Studiengangs/der
Studiengänge:
Elektrotechnik, Informationstechnik und Technische Informatik
Wirtschaftsingenieurwesen (Fachrichtung: Elektrische Energietechnik)
frühestmöglicher Startzeitpunkt:
sofort
Diese Arbeit wird betreut von:
Christian Fleischer, fl@isea.rwth-aachen.de
0241 / 80-99594
QuickView Nr. 1660
Adresse: Jägerstraße 17-19, D-52066 Aachen, Internet: http://www.isea.rwth-aachen.de/