Collaborative strategic energy management of serial-hybrid electric urban buses in operation

The paper presents a methodology of coupling serial hybrid urban buses, propagating the location of forced stops as input for controlling the motor generator set in a strategic energy management systems. The hypothesis postulates that using data from vehicles driving head-to-head — adding information from other telematics services like intersection controllers — helps improving fuel economy. At first the control scheme and algorithms for the strategic energy management are described. Several potential telematics system architectures for acquiring the needed data input are evaluated and the data update process is validated. A backward looking black box simulation model together with prerecorded trip data are used to determine the fuel consumption. By varying data quality of the potential stops, the existence of preceding buses, which are improving data quality, is simulated.