Title :
Research on fuel economy for HHV based on road and Traffic Information System
Author :
Wei Wang ; Xinhui Liu ; Wei Chen
Author_Institution :
Inst. of Mech. Sci. & Eng., Jilin Univ., Changchun, China
Abstract :
With the application of the information of road and traffic in a certain future predictive route provided by Board and Traffic Information System on board, and car current operating state model the HHV (hydraulic hybrid vehicle), build HHV for a prediction in the future the operation status of model route; To the accumulator loading state, for the system state variables for the second component torque decision variables, HHV equivalent fuel consumption minimum for optimization control target function, using the dynamic programming, a reverse algorithm moderate HHV predictive control mathematical model; Research the HHV torque distribution the optimal control method. This paper gives a HHV calculation example of the optimal control results.
Keywords :
automobiles; dynamic programming; energy consumption; fuel economy; hybrid electric vehicles; hydraulic drives; optimal control; predictive control; road traffic; torque; traffic information systems; HHV; HHV equivalent fuel consumption; HHV predictive control mathematical model; accumulator loading state; dynamic programming; fuel economy; hydraulic hybrid vehicle; optimal control method; optimization control target function; predictive route; reverse algorithm; road information system; second component torque decision variable; system state variables; torque distribution; traffic information system; Dynamic programming; Engines; Fuels; Mathematical model; Roads; System-on-a-chip; Torque; HHV; dynamic control; hydraulic pump/motor; recovery of brake energy;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6023081