Abstract
The cloud connecting individual commercial vehicles in the fleet provides both information resources and computational power to find optimal path for given route. As the fleet operation is usually based on repeated routes, the pre-optimized paths can be downloaded into vehicle on-board computer. This information is presented to the driver so he can maintain the optimized velocity course which saves the energy and thus extends the range.
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References
MINETT, Claire F et al (2011) Eco-routing: comparing the fuel consumption of different routes between an origin and destination using field test speed profiles and synthetic speed profiles. In: IEEE forum on integrated and sustainable transportation system (FISTS) 2011, p 32–39
Badin F, Le Berr F, Castel G, Dabadie JC, Briki H, Degeilh P, Pasquier M (2015) Energy efficiency evaluation of a plug-in hybrid vehicle under European procedure, Worldwide harmonized procedure and actual use; EVS28 KINTEX, Korea, 3–6 May 2015
Here. https://company.here.com
Maroteaux D, Le Guen D, Chauvelier E (2015) Development of a fuel economy and CO2 simulation platform for hybrid electric vehicles, application to renault EOLAB prototype. RENAULT SAS, SAE International
Moré JJ, Sorensen DC (1983) Computing a trust region step. SIAM J Sci Stat Comput 3:553–572
Steinbauer P, et al (2017) E-vehicle predictive control for range extension. Advances in intelligent systems and computing
Steinbauer P et al (2016) Dynamic optimization of the e-vehicle route profile. No. 2016–01-0156. SAE technical paper, 2016
Seborg DE (2010) Process dynamics and control. John Wiley and Sons, USA
Biegler LT (2007) An overview of simultaneous strategies for dynamic optimization. Chem Eng Process 46(11):1043–1053
Acknowledgements
This research has been realized using the support of EU FP 7 Project No. 608756, Integration and Management of Performance and Road Efficiency of Electric Vehicle Electronics and using the support of The Ministry of Education, Youth and Sports program NPU I (LO), project# LO1311 Development of Vehicle Centre of Sustainable Mobility. This support is gratefully acknowledged.
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Steinbauer, P., Macek, J., Morkus, J., Denk, P., Šika, Z., Pasteur, F. (2017). Aspects for Velocity Profile Optimization for Fleet Operated Vehicles. In: Watzenig, D., Brandstätter, B. (eds) Comprehensive Energy Management – Eco Routing & Velocity Profiles. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-53165-6_1
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DOI: https://doi.org/10.1007/978-3-319-53165-6_1
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