A predictive control strategy based on A-ECMS to handle Zero-Emission Zones: Performance assessment and testing using an HiL equipped with vehicular connectivity

Brunelli, Lorenzo; Capancioni, Alessandro; Canè, Stella; Cecchini, Giammarco; Perazzo, Alessandro; Brusa, Alessandro; Cavina, Nicolò

doi:10.1016/j.apenergy.2023.121008

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2024

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Cited by 3 publications

References 25 publications

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Coupled velocity and energy management optimization of connected hybrid electric vehicles for maximum collective efficiency

Zhang,

Chen,

Lei

et al. 2024

Applied Energy

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Coupled velocity and energy management optimization of connected hybrid electric vehicles for maximum collective efficiency

Zhang,

Chen,

Lei

et al. 2024

Applied Energy

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China's plug-in hybrid electric vehicle transition: An operational carbon perspective

Deng,

Ma,

Zhou

et al. 2024

Energy Conversion and Management

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Review on Artificial Intelligence-Based Sustainable System for Autonomous Vehicles

Ganesh,

Murugan,

Rajan

et al. 2024

Advances in Computer and Electrical Engineering

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Artificial intelligence (AI) has played a pivotal role in developing autonomous vehicles and revolutionizing the automotive industry. AI is at the forefront of the autonomous vehicle revolution, with the potential to transform transportation, enhance safety, and reduce environmental impact. While there are challenges and concerns to overcome, ongoing research, technological advancements, and regulatory efforts are helping to pave the way for a future where autonomous vehicles are an integral part of our transportation landscape. The successful integration of AI in autonomous vehicles will depend on a collaborative effort between the automotive industry, regulators, and the public to ensure the safe and responsible deployment of this transformative technology.

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A predictive control strategy based on A-ECMS to handle Zero-Emission Zones: Performance assessment and testing using an HiL equipped with vehicular connectivity

Cited by 3 publications

References 25 publications

Coupled velocity and energy management optimization of connected hybrid electric vehicles for maximum collective efficiency

Coupled velocity and energy management optimization of connected hybrid electric vehicles for maximum collective efficiency

China's plug-in hybrid electric vehicle transition: An operational carbon perspective

Review on Artificial Intelligence-Based Sustainable System for Autonomous Vehicles

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