[HTML][HTML] Review of optimal sizing and power management strategies for fuel cell/battery/super capacitor hybrid electric vehicles

AS Mohammed, SM Atnaw, AO Salau, JN Eneh - Energy Reports, 2023 - Elsevier
Energy management strategies and optimal power source sizing for fuel cell/battery/super
capacitor hybrid electric vehicles (HEVs) are critical for power splitting and cost-effective …

Energy management strategies of battery-ultracapacitor hybrid storage systems for electric vehicles: Review, challenges, and future trends

H Rezaei, SE Abdollahi, S Abdollahi… - Journal of Energy …, 2022 - Elsevier
The hybrid energy storage system is a promising candidate for electrically driven vehicles
that enables superior capabilities compared to the single energy storage source. The energy …

Towards health-aware energy management strategies in fuel cell hybrid electric vehicles: A review

M Kandidayeni, JP Trovão, M Soleymani… - International Journal of …, 2022 - Elsevier
An energy management strategy (EMS) is responsible for distributing the power between the
electrochemical power sources of a fuel cell hybrid electric vehicle (FCHEV) with a view to …

[HTML][HTML] Intelligent MPPT for photovoltaic panels using a novel fuzzy logic and artificial neural networks based on evolutionary algorithms

M Fathi, JA Parian - Energy Reports, 2021 - Elsevier
Maximum power point tracking (MPPT) represents one of the significant challenges for
designing photovoltaic (PV) systems. Thus, an effective MPPT method of solar panels is …

[HTML][HTML] The multi-objective optimization of powertrain design and energy management strategy for fuel cell–battery electric vehicle

J Zhou, C Feng, Q Su, S Jiang, Z Fan, J Ruan, S Sun… - Sustainability, 2022 - mdpi.com
Considering the limited driving range and inconvenient energy replenishment way of battery
electric vehicle, fuel cell electric vehicles (FC EVs) are taken as a promising way to meet the …

Optimization of energy management strategy for extended range electric vehicles using multi-island genetic algorithm

Y Xu, H Zhang, Y Yang, J Zhang, F Yang, D Yan… - Journal of Energy …, 2023 - Elsevier
This study aims to improve the fuel economy of extended range electric vehicles (EREVs)
and reduce the cumulative battery workload. Energy management strategy (EMS) of EREVs …

The role of artificial neural networks in prediction of mechanical and tribological properties of composites—a comprehensive review

UMR Paturi, S Cheruku, NS Reddy - Archives of Computational Methods …, 2022 - Springer
The artificial neural network (ANN) approach motivated by the biological nervous system is
an inspiring mathematical tool that simulates many complicated engineering applications …

A review on hybrid source energy management strategies for electric vehicle

V Sidharthan Panaparambil, Y Kashyap… - … Journal of Energy …, 2021 - Wiley Online Library
Electric and hybrid electric vehicle technology demonstrates a performance to replace the
internal combustion engines (ICE) in the current scenario. It attracts attention with improved …

[HTML][HTML] Hybrid power management strategy with fuel cell, battery, and supercapacitor for fuel economy in hybrid electric vehicle application

V Mounica, YP Obulesu - Energies, 2022 - mdpi.com
The power management strategy (PMS) is intimately linked to the fuel economy in the hybrid
electric vehicle (HEV). In this paper, a hybrid power management scheme is proposed; it …

A new ANN model for hourly solar radiation and wind speed prediction: A case study over the north & south of the Arabian Peninsula

B Shboul, ALA Ismail, S Michailos, D Ingham… - Sustainable Energy …, 2021 - Elsevier
Prediction models for renewable energy sources are frequently used to manage stand-alone
micro grid systems. Such prediction models are important due to the high cost or even the …