This study provides a systematic analysis of the relationship between electricity consumption and production output across various enterprises, sectors, and industries. Utilizing the concept of EAI (electricity as input), it incorporates national E-GDP figures from over 20 countries, offering valuable insights into the economic impact of electricity usage in different contexts.
The book presents a novel approach to addressing measurement challenges in two-dimensional sensor matrices, specifically targeting the cross-talk effect. It introduces the AC-Zero Potential Circuit (AC-ZPC Type 0) for simultaneous measurements using AC signals of varying frequencies, eliminating the need for multiplexers. Two advanced methods enhance measurement accuracy: AC-ZPC Type 1 corrects deviations through reference elements, while AC-ZPC Type 2 employs voltage followers and additional reference elements to address interface impedance issues and amplifier non-idealities.
In this work, the optimization-based model predictive control methods are applied as theoretical fundamental to handle the control problems of the torque vectoring function in the drive train system in electric vehicles. By means of diverse control methods, the parameter variation, system constraints as well as the non-linearities are well handled in this work. The entire system is validated on a HiL test bench. The results show a good compromise between robustness and optimality.