Abstract: A hydrogen-powered refrigeration system 900 and related intelligent and predictive control methods, comprises various subsystems integrated to create synergies and interdependencies providing high efficiency, mission anticipation and recommendations to minimize fuel consumption and increase the durability of the system while refrigerating a cargo volume during transportation at low or no carbon emissions; wherein the intelligent and predictive controls are achieved by the use of a control system based on deep neural networks that optimizes operation by anticipating the future state of the system and adjusting its configuration based on models to operate under an optimal control policy that considers external information obtained from calls to APIs linked to external information providers while ensuring cargo is maintained under conditions required or regulated as a part of the cold chain. The invention has particular application to the vehicular and multi-modal transportation of items requiring refrigeration.

Abstract: In accordance with the present invention, there is provided an electromagnetic shielding composition. The electromagnetic shielding composition in accordance with the broad aspects of the present invention includes from about 40% to 60% by volume of a sheet molding composition filled with an effective amount of carbon fibers for shielding of electromagnetic radiation from the electrical systems in an at least partially electrically driven vehicle.

Abstract: In accordance with the present invention, there is provided an electromagnetic shielding composition. The electromagnetic shielding composition in accordance with the broad aspects of the present invention includes from about 40% to 60% by volume of a sheet molding composition filled with an effective amount of carbon fibers for shielding of electromagnetic radiation from the electrical systems in an at least partially electrically driven vehicle.