2015
DOI: 10.1016/j.energy.2015.03.118
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Energy control strategies for the Fuel Cell Hybrid Power Source under unknown load profile

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Cited by 45 publications
(10 citation statements)
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“…The new proposed PI gives better results compared with ECMS in case of energy consumption and operational cost, but it has higher energy and operational cost with state-based energy and original PI strategies. Bizon et al 97 proposed four new control strategies for stationary and vehicle applications based on load following and maximum efficiency point tracking in order to control fuel consumption rate and enhance the FC net power availability. Results indicate that the 12% FC net power increased by using maximum efficiency point tracking control and load following control reduces battery size, and it will operate in charge sustaining mode.…”
Section: Equivalent Consumption Minimization Strategy (Ecms)mentioning
confidence: 99%
“…The new proposed PI gives better results compared with ECMS in case of energy consumption and operational cost, but it has higher energy and operational cost with state-based energy and original PI strategies. Bizon et al 97 proposed four new control strategies for stationary and vehicle applications based on load following and maximum efficiency point tracking in order to control fuel consumption rate and enhance the FC net power availability. Results indicate that the 12% FC net power increased by using maximum efficiency point tracking control and load following control reduces battery size, and it will operate in charge sustaining mode.…”
Section: Equivalent Consumption Minimization Strategy (Ecms)mentioning
confidence: 99%
“…It is mandatory for a hybrid system to include an ESS which stores the excess energy from the RES in order for it to be used to supply the load during a lack of RES power [42][43][44][45]. ESS devices are usually batteries and ultracapacitors [42]. Batteries are used as energy storage devices (having specific energy higher than that of the ultracapacitors), ensuring energy needs are met for a longer period [43].…”
Section: Introductionmentioning
confidence: 99%
“…Other methods are preferred in the literature with real-time on-line implementation objectives: an on-line optimal control approach [11] with an adaptive principle (equivalent consumption minimisation strategy -ECMS [12]) or heuristics and rule-based approaches (Fuzzy Logic [13] and type-II optimized Fuzzy Logic [14] possibly in combination with a genetic algorithm 75 [15] or adding an adaptive mechanism [16]), in order to minimise hydrogen consumption by the fuel cell system. Control strategies based on load following also have been experimented in [17]. The solutions obtained by these approaches are suboptimal due to their non-linear formulation of the problem or the setting of some parameters generally involving important computation 80 times.…”
Section: Introductionmentioning
confidence: 99%