Aug 2026· Fuel Cells· Vol 26· 0 citations· 47 references
Abstract
Fuel cell–based hybrid electric vehicles (FCEVs) represent a promising pathway toward sustainable transportation due to their high efficiency and negligible emission profile. Accurate simulation frameworks are essential to understand system dynamics, optimize power management, and enhance overall performance. This study presents a comprehensive MATLAB/Simulink‐based simulation model of a hybrid battery–fuel cell powertrain for FCEVs. The proposed architecture integrates a fuel cell stack, battery unit, DC–DC converters, and an electric motor, with system parameters defined through dedicated script files to enable flexible modeling and performance evaluation. The model systematically estimates key operational parameters across multiple stages, including current, voltage, power output (kW), efficiency (%), duty cycle (%), battery state‐of‐charge, motor torque, and rotational speed. Additionally, excessive water flow rate from the fuel cell stack is quantified to assess system stability. The integrated configuration enables stage‐wise analysis. The developed system achieves a peak motor output of 0.78 kW and 1500 rpm under defined operating conditions. Although simulation time and parametric assumptions remain limitations, the framework provides a robust platform for real‐time design evaluation and optimization. Future work will incorporate intelligent power management strategies to further improve energy utilization, operational adaptability, and driving range in hybrid electric vehicle applications.
This study presents a mathematical modeling and simulation-based framework for evaluating the electric powertrain performance of mini passenger electric vehicles under standardized driving conditions. The framework integrates vehicle longitudinal dynamics, electric motor characteristics, transmission behavior, and batt...
Ramkrishna Mohan Kambli, Sagar Navale· International Journal of Inn...· 0 citations
To address power‐demand fluctuations in fuel‐cell hybrid electric vehicles (FCHEVs) and the resulting trade‐off between hydrogen economy and fuel‐cell dynamic stress, this paper proposes a two‐layer power‐allocation strategy for a heterogeneous dual‐stack fuel‐cell system. The hybrid powertrain consists of a 75 kW ma...
Kang-Bo Ren, Jiang-Tao Fu, Yan Zhang et al.· Optimal control applications...· 0 citations
This paper presents a model predictive control (MPC)-based energy management strategy for hybrid power systems combining a proton-exchange membrane fuel cell (PEMFC) with a lithium iron phosphate (LFP) battery storage unit for renewable energy applications. The proposed framework optimizes power allocation between the...
L. Trilla, Paula Arias, Alejandro Clemente et al.· Applied Sciences· 0 citations
This study investigates the performance, energy flow, efficiency, and environmental impact of a C-segment battery electric vehicle (BEV). As BEVs are increasingly considered a sustainable alternative to conventional internal combustion engine vehicles, a detailed understanding of their energy utilization and operationa...
Muhammed Sefa Çetin, Habip Şahin, M. Gençoğlu· Sustainability· 0 citations
This paper presents an artificial neural network (ANN)-assisted energy management system (EMS) for a fuel cell–battery–supercapacitor powered electric vehicle. The proposed strategy addresses the coordinated operation of energy sources with different dynamic characteristics while maintaining stable DC-bus operation and...
Seella Srividya, Sathish Kumar Kannaiah· Engineering Research Express· 0 citations
The increasing deployment of lithium‐ion batteries (LIBs) in electric vehicles (EVs) demands robust thermal management to ensure safety and performance, particularly, under high‐current discharge and dynamic load conditions. The present study evaluated a battery pack at the system level, using both detailed finite‐vo...
Tejas Kalvankar, G. Rao· Energy Storage· 0 citations
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