Performance quantification of signal interfaces in hybridized long vehicle combinations
Publicerad
Författare
Typ
Examensarbete för masterexamen
Master's Thesis
Master's Thesis
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
This study develops a predictive control algorithm for hybrid trucks operating under
reduced information exchange conditions. In these conditions, the signal interface
of an electric converter dolly (E-dolly) transmits limited vehicle state and control
signals. This e-dolly connects the first and second trailers in an A-double vehicle
combination. The study compares fuel consumption across different power split
strategies. Simulation results showed that lower fuel consumption was achieved by
formulating nonlinear optimal control problem and solving it using sequential linear
programming (SLP). In addition, a grid search method was used in rule-based hybrid
truck model to adapt it to different topography and speed limits. The study also
introduces the real-time iterative (RTI) method for updating in real time, which
achieves lower fuel consumption compared to grid search. This study not only verifies
the effectiveness of SLP in dealing with nonlinear programming (NLP) problems,
but also explores the potential for real-time updates. This is particularly relevant
in scenarios with reduced information exchange through the signal interface. Based
on these methods, optimal energy allocation strategies can be provided for different
external environments.
Beskrivning
Ämne/nyckelord
long combination trucks, fuel consumption, sequential linear programming, predictive energy management, nonlinear model predictive control(NMPC), Real-Time Iteration