Dear Colleagues,

According to the International Energy Agency, transportation accounts for about 55 percent of crude oil demand. Problems related to the depletion of petroleum reserves and the effect of greenhouse gas emissions on the global climate are driving a growing interest in alternatives. Speeding up the decarbonization of the transport sector would be risky if a single technology is relied upon. Electrification of transport sector must be done from two points of view: the hybridization of the vehicles as one of the first steps towards full electric vehicle fleets and the replacement of their supply from fossil fuels to electricity supplied by renewable energies. Hybrid electric vehicles and plug-in hybrid electric vehicles have thrived as a lucrative solution to the aforementioned problems, as it is an intermediate approach to achieve superior mileage and low tailpipe emission compared to conventional internal combustion engine vehicles. The increase in the level of hybridization will carry an increase in electricity demand that must be based on distributed generation based on renewable energies. A smart and complementary combination of renewable sources, storage systems, and electric charging infrastructure working as hybrid generation systems results in a flattening of the demand curve and also provides peak shaving and more reliability to the grid. To achieve the electrification of the transport sector, together with these advantages, it is crucial to develop real-time energy management strategies for both hybrid vehicles and hybrid distributed generation systems. These energy management systems must be capable of coordinating the power sources and the storage systems in order to maximize fuel economy. This Special Issue will address the challenges posed by energy management control and optimization in vehicle and distributed generation systems hybridization. Papers are invited that propose novel power management methods capable of acquiring optimal power handling, accommodating system inaccuracies, and suiting real-time applications to improve the powertrain efficiency and the generation system reliability at different operating conditions. Topics may include the improvement of rule-based control strategies by optimizing the design of their rules, the sizing optimization of distributed generation systems subject to demand, and renewable generation uncertainty and the suitability of optimization-based methods to real-time applications, as well as the proposal of novel control strategies. Experimental results describing the real-life applications of novel technologies are also very welcome.

Prof. Dr. Juan Pérez Torreglosa
Prof. Dr. Pablo García Triviño
Guest Editors

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• Hybrid electric vehicles
• Energy management
• Hybrid power systems
• Renewable energy for sustainable transport
• Deployment of RES
• Distributed generation
• Electric vehicle charging
• Control optimization