ayush ayush - Academia.edu (original) (raw)
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Papers by ayush ayush
International journal of multidisciplinary advanced scientific research and innovation, Oct 13, 2021
A power management strategy based on an adaptive neuro-fuzzy inference system is proposed to enha... more A power management strategy based on an adaptive neuro-fuzzy inference system is proposed to enhance the fuel economy of fuel cell-battery hybrid vehicle and increase the mileage of continuation of journey. The model of hybrid vehicle for fuel cell-battery structure is developed by electric vehicle simulation software ADVISOR. The simulation results demonstrate that the proposed strategy can satisfy the power requirement of four standard drive cycles and achieve the power distribution between fuel cell system and battery. The comprehensive comparisons with a power tracking control strategy which is widely adopted in ADVISOR verify that the proposed strategy has better validity in terms of fuel economy in four standard drive cycles. Hence, the proposed strategy will take important effect for designing advanced power management system of hybrid vehicle. V
2023 IEEE Renewable Energy and Sustainable E-Mobility Conference (RESEM)
Journal of Renewable and Sustainable Energy, 2012
A power management strategy based on an adaptive neuro-fuzzy inference system is proposed to enha... more A power management strategy based on an adaptive neuro-fuzzy inference system is proposed to enhance the fuel economy of fuel cell-battery hybrid vehicle and increase the mileage of continuation of journey. The model of hybrid vehicle for fuel cell-battery structure is developed by electric vehicle simulation software advisor. The simulation results demonstrate that the proposed strategy can satisfy the power requirement of four standard drive cycles and achieve the power distribution between fuel cell system and battery. The comprehensive comparisons with a power tracking control strategy which is widely adopted in advisor verify that the proposed strategy has better validity in terms of fuel economy in four standard drive cycles. Hence, the proposed strategy will take important effect for designing advanced power management system of hybrid vehicle.
International journal of multidisciplinary advanced scientific research and innovation, Oct 13, 2021
A power management strategy based on an adaptive neuro-fuzzy inference system is proposed to enha... more A power management strategy based on an adaptive neuro-fuzzy inference system is proposed to enhance the fuel economy of fuel cell-battery hybrid vehicle and increase the mileage of continuation of journey. The model of hybrid vehicle for fuel cell-battery structure is developed by electric vehicle simulation software ADVISOR. The simulation results demonstrate that the proposed strategy can satisfy the power requirement of four standard drive cycles and achieve the power distribution between fuel cell system and battery. The comprehensive comparisons with a power tracking control strategy which is widely adopted in ADVISOR verify that the proposed strategy has better validity in terms of fuel economy in four standard drive cycles. Hence, the proposed strategy will take important effect for designing advanced power management system of hybrid vehicle. V
2023 IEEE Renewable Energy and Sustainable E-Mobility Conference (RESEM)
Journal of Renewable and Sustainable Energy, 2012
A power management strategy based on an adaptive neuro-fuzzy inference system is proposed to enha... more A power management strategy based on an adaptive neuro-fuzzy inference system is proposed to enhance the fuel economy of fuel cell-battery hybrid vehicle and increase the mileage of continuation of journey. The model of hybrid vehicle for fuel cell-battery structure is developed by electric vehicle simulation software advisor. The simulation results demonstrate that the proposed strategy can satisfy the power requirement of four standard drive cycles and achieve the power distribution between fuel cell system and battery. The comprehensive comparisons with a power tracking control strategy which is widely adopted in advisor verify that the proposed strategy has better validity in terms of fuel economy in four standard drive cycles. Hence, the proposed strategy will take important effect for designing advanced power management system of hybrid vehicle.