Energy Management Control and Optimization for Hybrid Electric Vehicles

Torreglosa, Juan P.

doi:10.3390/app12189263

Applied Sciences

2022

DOI: 10.3390/app12189263

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Energy Management Control and Optimization for Hybrid Electric Vehicles

Juan P. Torreglosa

Abstract: This Issue, Energy Management Control and Optimization for Hybrid Electric Vehicles, was set in motion over three years ago with the objective of addressing the challenges posed by energy management control and optimization in vehicle hybridization [...]

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2024

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Optimal Energy Management and Control Strategies for Electric Vehicles Considering Driving Conditions and Battery Degradation

Manoj,

Guntreddi,

Ramana

et al. 2024

E3S Web of Conf.

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Electric vehicles (EVs) are crucial for reducing greenhouse gas emissions and promoting sustainable transportation. However, optimizing energy management in EVs is challenging due to the variability in driving conditions and the impact of battery degradation. This paper proposes an advanced energy management and control strategy that accounts for these factors, aiming to enhance both vehicle performance and battery longevity. We integrate real-time data on driving conditions with detailed battery degradation models to develop a comprehensive control framework. Our methodology employs a combination of rule-based and optimization-based algorithms to dynamically adjust energy usage, ensuring optimal performance under diverse driving scenarios. Our strategy significantly improves energy efficiency and mitigates battery degradation compared to conventional approaches. Specifically, findings show an increase in overall driving range and a reduction in battery wear. Additionally, a sensitivity analysis underscores the robustness of our approach across different driving conditions and battery states. This research offers critical insights for the development of next-generation EV energy management systems, promoting longer-lasting and more efficient electric vehicles. Future work will focus on real-world testing and further refinement of the control algorithms to ensure practical applicability and enhanced performance in varied driving environments.

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Optimal Energy Management and Control Strategies for Electric Vehicles Considering Driving Conditions and Battery Degradation

Manoj,

Guntreddi,

Ramana

et al. 2024

E3S Web of Conf.

View full text Add to dashboard Cite

show abstract

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Energy Management Control and Optimization for Hybrid Electric Vehicles

Abstract: This Issue, Energy Management Control and Optimization for Hybrid Electric Vehicles, was set in motion over three years ago with the objective of addressing the challenges posed by energy management control and optimization in vehicle hybridization [...]

Cited by 1 publication

References 12 publications

Optimal Energy Management and Control Strategies for Electric Vehicles Considering Driving Conditions and Battery Degradation

Optimal Energy Management and Control Strategies for Electric Vehicles Considering Driving Conditions and Battery Degradation

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