Modeling, Simulation and Control of Electric Drive Systems
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".
Deadline for manuscript submissions: closed (30 August 2021) | Viewed by 20756
Special Issue Editors
Interests: control systems; mechatronics; actuators; engines control; signal processing; wavelets; Kalman filter; optimal energy control
Special Issues, Collections and Topics in MDPI journals
Interests: mechatronics; physical modelling; nonlinear control and estimation; optimization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
It is common sense that an intelligent management of energy resources is mandatory to respect the environment and minimize the harmful side effects of energy usage. Hence, in future electric drive systems, model-based system design, intelligent control and optimization techniques, as well as learning algorithms will play a decisive role. In fact, energy optimization already represents a crucial issue in smart grid/micro-grid energy flow, renewable energy, electrical and hybrid vehicles, energy storage devices, electrical motors, and in any kind of actuators.
In addition to these aspects, also methods addressing the mechatronic design of energy-efficient drives and, moreover, their robust control in the presence of changing operating conditions, uncertainty, and disturbances are of great interest. In this sense, techniques based on concepts such as controllability and observability are welcome.
This upcoming Special Issue of Energies will address and collect papers successfully showing how the model-based control and optimization of electric drive systems can contribute to a sustainable use of energy in industrial and transport applications.
Prof. Dr. Paolo Mercorelli
Prof. Dr. Harald Aschemann
Guest Editors
Manuscript Submission Information
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Keywords
- model-based optimization
- combinations of model-based design techniques with machine learning
- model-based system engineering in e-mobility
- design of drives based on controllability and observability concepts
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