Eco‐driving control for hybrid electric trams on a signalised route. Issue 1 (5th December 2019)

• Record Type: Journal Article
• Authors: Xiao, Zhuang; Feng, Xiaoyun; Wang, Qingyuan; Sun, Pengfei
• Is Part Of: IET intelligent transport systems. Volume 14:Issue 1(2020)
• Page Start: 36
• Page End: 44
• Publication Date: 2019-12-05
• Subjects: optimal control -- driver information systems -- supercapacitors -- velocity control -- energy consumption -- road traffic -- vehicle dynamics -- energy conservation -- railways -- road vehicles -- dynamic programming -- hybrid electric vehicles -- traction power supplies -- trajectory control; traction power system -- vehicle dynamics system -- optimised speed -- demand power profiles -- power split optimal controller -- DP algorithm -- power plant voltage limitations -- dynamic power losses -- optimised solution -- hybrid electric trams -- signalised route -- power split optimisation -- speed profile controller -- multiphase dynamic programming algorithm -- integrated ecodriving control method -- ecocruising benchmark strategies -- speed trajectory optimisation -- signal constraints -- supercapacitors -- Chengdu Tramway Line 2 -- energy reduction -- green signal time windows -- trip time -- minimum energy consumption -- driver assistant systems -- automatic train operation systems; Intelligent transportation systems -- Periodicals; Electronics in transportation -- Periodicals; 388.31205
• DOI: 10.1049/iet-its.2019.0345
• Languages: English
• ISSNs: 1751-956X

Abstract

Abstract : This study proposes an integrated eco‐driving controller, in which speed profile and power split optimisation are simultaneously treated. A speed profile controller is designed based on a multi‐phase dynamic programming (DP) algorithm, which is utilised to optimise speed trajectories with the detailed model of the traction power system, vehicle dynamics system, and signal constraints at intersections. The optimised speed and demand power profiles are designed as the reference of the power split optimal controller. A DP algorithm is presented to determine voltage trajectories of supercapacitors with power plant voltage limitations and dynamic power losses. The performance of the proposed integrated method is evaluated by numerical simulation based on an actual route of Chengdu Tramway Line 2. The energy reduction can be achieved by the speed profiles controller, compared to the eco‐cruising benchmark strategies. Energy efficiency can be further improved by the integrated eco‐driving controller. Moreover, the influences of green signal time windows and trip time on the shape of the optimised solution are investigated. For a given journey, the trip time with minimum energy consumption can be obtained. The integrated eco‐driving control method can be implemented by driver assistant systems or automatic train operation systems.