Energy management strategies, control systems, and artificial intelligence-based algorithms development for hydrogen fuel cell-powered vehicles: A review

Oladosu, Temidayo Lekan; Pasupuleti, Jagadeesh; Kiong, Tiong Sieh; Koh, Siaw Paw Johnny; Yusaf, Talal

doi:10.1016/j.ijhydene.2024.02.284

Cited by 39 publications

(2 citation statements)

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“…It should be mentioned that, in traction state, when a big acceleration is demanding, i.e., the power demand rises above the fuel cell maximum output power, the battery and PEMFC work together in order to provide all the needed energy. Nevertheless, if the battery is below 20%, since such low levels of SOC have must be avoided, the power demanded by the motor is limited to the maximum power that the fuel cell can provide following the next Equation (12). It should be observed that a gain of 0.85 is added in order to have enough power left to charge the battery.…”

Section: Rule-based Energy Managementmentioning

confidence: 99%

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Rule-Based Operation Mode Control Strategy for the Energy Management of a Fuel Cell Electric Vehicle

Uralde,

Barambones,

del Rio

et al. 2024

Batteries

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Hydrogen, due to its high energy density, stands out as an energy storage method for the car industry in order to reduce the impact of the automotive sector on air pollution and global warming. The fuel cell electric vehicle (FCEV) emerges as a modification of the electric car by adding a proton exchange membrane fuel cell (PEMFC) to the battery pack and electric motor, that is capable of converting hydrogen into electric energy. In order to control the energy flow of so many elements, an optimal energy management system (EMS) is needed, where rule-based strategies represent the smallest computational burden and are the most widely used in the industry. In this work, a rule-based operation mode control strategy for the EMS of an FCEV validated by different driving cycles and several tests at the strategic points of the battery state of charge (SOC) is proposed. The results obtained in the new European driving cycle (NEDC) show the 12 kW battery variation of 2% and a hydrogen consumption of 1.2 kg/100 km compared to the variation of 1.42% and a consumption of 1.08 kg/100 km obtained in the worldwide harmonized light-duty test cycle (WLTC). Moreover, battery tests have demonstrated the optimal performance of the proposed EMS strategy.

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Section: Rule-based Energy Managementmentioning

confidence: 99%

“…In [12], Oladosu et al categorized energy management system (EMS) strategies based on rule-based techniques, optimization-based control, and artificial intelligence adaptive control systems. Rule-based control (RBC) has been widely used due to its easy logic and implementation although it is not very scalable.…”

Section: Introductionmentioning

confidence: 99%