Energy-aware predictive control for electrified bus networks
Artikel i vetenskaplig tidskrift, 2019
with possibility of bunching. The proposed decentralized, bus fleet control solution aims to combine four conflicting goals incorporated into a multi-objective, nonlinear cost function. The multi-objective optimization is solved under a receding horizon model predictive framework.
The four conflicting objectives are as follows. One is ensuring periodicity of headways by watching leading and following vehicles i.e. eliminating bus bunching. Equal headways are only a necessary condition for keeping a static, predefifined, periodic timetable. The second objective is timetable tracking, and passenger waiting time minimization. In case of high passenger demand, it is desirable to haste the bus in order to prevent bunching. The final objective is energy efficiency. To this end, an energy consumption model is formulated considering battery electric vehicles with recuperation during braking. Alternative weighting strategies are compared and evaluated through realistic scenarios, in a calibrated microscopic traffic simulation environment. Simulation results confirm of 3-8% network level energy saving compared to bus holding control while maintaining punctuality and periodicity of buses.
Bus bunching
Multiobjective optimization
Receding control
Passenger wait
Energy consumption
Författare
Balázs Varga
Budapesti Muszaki es Gazdasagtudomanyi Egyetem
Tamas Tettamanti
Budapesti Muszaki es Gazdasagtudomanyi Egyetem
Balázs Adam Kulcsár
Chalmers, Elektroteknik, System- och reglerteknik
Applied Energy
0306-2619 (ISSN) 18729118 (eISSN)
Vol. 252 113477Public transit shared mobility - connected and safe solutions
Chalmers, 2020-03-01 -- 2021-03-01.
Chalmers, 2019-03-01 -- 2020-02-29.
Optimal energihantering för nätverk av elektrifierade bussar (OPNET)
Energimyndigheten (46365-1), 2018-10-01 -- 2021-12-31.
Drivkrafter
Hållbar utveckling
Styrkeområden
Transport
Energi
Ämneskategorier
Energiteknik
Transportteknik och logistik
Reglerteknik
Miljövetenskap
DOI
10.1016/j.apenergy.2019.113477