Title :
Energy-optimal velocity profiles for electric city buses
Author_Institution :
Sch. of Eng., Aalto Univ., Aalto, Finland
Abstract :
This paper introduces a method for defining energy-optimal velocity profiles for electric city buses. The method is founded on the use of dynamic programming and vehicle simulation. Typical driving patterns of cit y buses are used for defining the energy-optimal velocity profiles. Based on the characteristics and limitations of the driving patterns, the energy-optimal velocity profiles are calculated with the aid of dynamic programming simulation by minimizing the energy consumption. In this first part of the research, models of electric and conventional diesel city buses are used. Later, also parallel and series hybrid city buses are taken into consideration. The simulation results show that the energy-optimal driving could improve the energy efficiency on average around 17% for electric city buses and about 19% for diesel city buses in the Braunschweig driving cycle.
Keywords :
dynamic programming; electric vehicles; energy conservation; energy consumption; Braunschweig driving cycle; diesel city buses; dynamic programming; electric city buses; energy consumption minimization; energy efficiency; energy-optimal velocity profiles; parallel-series hybrid city buses; vehicle simulation; Acceleration; Cities and towns; Dynamic programming; Energy consumption; Energy efficiency; Mechanical power transmission; Vehicles;
Conference_Titel :
Automation Science and Engineering (CASE), 2013 IEEE International Conference on
Conference_Location :
Madison, WI
DOI :
10.1109/CoASE.2013.6653956