Towards Self-Learning Energy Management for Optimal PHEV Operation Around Zero Emission Zones

Author:

Kupper Frank,Mentink Paul,Avramis Nikos,Meima Niels,Lazovik Elena,Wilkins Steven,Willems Frank

Publisher

SAE International

Reference25 articles.

1. EU , “Setting CO2 Emission Performance Standards for New Heavy-Duty Vehicles and Amending Regulations (EC) No 595/2009 and (EU) 2018/956 of the European Parliament and of the Council and Council Directive 96/53/EC,” European Union, Retrieved from https://eur-lex.europa.eu/eli/reg/2019/1242/oj.

2. ICCT , “The End of the Road? An Overview of Combustion-Engine Car Phase-Out Announcements Across europe,” Retrieved from https://theicct.org/sites/default/files/publications/Combustion-engine-phase-out-briefing-may11.2020.pdf.

3. Wilkins, S., Pham, T., Tran, D.D., Hegazy, O., et al. , “Orca Project: Optimisation Framework For Next Generation Heavy Duty Hybrids,” in 15th International Symposium on Heavy Vehicle Transportation Technology, Rotterdam, 2017

4. Musardo, C., Rizzoni, G., Guezennec, Y., and Staccia, B. , “A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management,” European Journal of Control (2005). https://doi.org/10.3166/ejc.11.509-524.

5. Biswas, D., Ghosh, S., Sengupta, S., Mukhopadhyay, S. , “A Predictive Supervisory Controller for an HEV Operating in a Zero Emission Zone,” in 2019 IEEE Transportation Electrification Conference and Expo (ITEC), doi:10.1109/ITEC.2019.8790631.

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