Cyber-physical energy-saving control for hybrid aircraft-towing tractor based on online swarm intelligent programming
- Submitting institution
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The University of Birmingham
- Unit of assessment
- 12 - Engineering
- Output identifier
- 54145715
- Type
- D - Journal article
- DOI
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10.1109/TII.2017.2781230
- Title of journal
- IEEE Transactions on Industrial Informatics
- Article number
- -
- First page
- 4149
- Volume
- 14
- Issue
- 9
- ISSN
- 1551-3203
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper arises from an Innovate UK project (102253) on new hybrid vehicle technology. It provides a novel cyber-physical control method to achieve real-time optimization for future connected vehicles. It demonstrates the use of a distributed-computing-system for optimising local energy management control via a V2X network and Cloud computing. It also developed a new online Cloud-based optimisation method named 'OSIP'. Consequently, significant improvement in energy saving for hybrid vehicles has been achieved in the real product development with Textron (https://hyperdriveinnovation.com/insights/news/new-hybrid-aircraft-push-back-tractor-on-show-at-inter-airport-europe-exhibition/) who stated that "Birmingham University carried out simulation work to size the hybrid sub-systems and optimise their control”.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -