Browse Topic: Fuel cells
Zero emission vehicles are essential for achieving sustainable and clean transportation. Hybrid vehicles such as Fuel Cell Electric Vehicles (FCEVs) use multiple energy sources like batteries and fuel cell stacks to offer extended driving range without emitting greenhouse gases. Optimal performance and extended life of the important components like the high voltage battery and fuel-cell stack go a long way in achieving cost benefits as well as environmental safety. For this, energy management in FCEVs, particularly thermal management, is crucial for maintaining the temperature of these components within their specified range. The fuel cell stack generates a significant amount of waste heat, which needs to be dissipated to maintain optimal performance and prevent degradation, whereas the battery system needs to be operated within an optimal temperature range for its better performance and longevity. Overheating of batteries can lead to reduced efficiency and potential safety hazards
This paper offers a state-of-the-art energy-management strategy specifically developed for FCHEV focusing on robustness under uncertain operations. Currently, energy management strategies try to optimize fuel economy and take into account the sluggish response of fuel cells (FCs); however, they mostly do so assuming all system variables are explicit and deterministic. In real-world operations, however, a variety of sources may cause the uncertainty in power generation, energy conversion, and demand interactions, e.g., the variation of environmental variables, estimated error, and approximation error of system model, etc., which accumulates and adversely impacts the vehicle performance. Disregarding these uncertainities can result in overestimation of operating costs, overall efficiency and overstepped performance limitations, and, in serious cases can cause catastrophic system breakdown. To mitigate these risks, the current work introduces a neural network-based energy management
One of the major goals of the automotive industry is to improve vehicular fuel efficiency and performance with much lesser percentages of harmful tailpipe emissions. One of the major technologies includes fuel cell electric vehicles (FCEV). Various advantages of fuel cells including reliability, simplicity, quietness of operation, and low pollution have made them an attractive potential candidate for providing automotive power. Even with numerous benefits, fuel cell still have more potential to become more efficient during its operation as, when put inside a vehicle, many auxiliary components act as a parasitic load on the fuel cell system. Thermal management system is one of such system which is critical for working of the fuel cell yet takes large amount of electrical power to operate. At high power operation entire thermal management system can draw up to fifteen percent of total power generated by the fuel cell. This paper discusses on a real time optimizer which controls the
Two issues ago in this space I wrote about some high-profile struggles hydrogen-technology companies had encountered, including Nikola and Hyzon both ceasing operations. I also recognized, however, that despite legitimate challenges, many OEMs and suppliers continue development efforts, confident that hydrogen - be it in combustion engines or fuel cells - will eventually make its mark on the industry. One segment where this is coming closer to reality is power generation in stationary applications.
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