Study on Predictive Control of Fuel Economy for Medium Hybrid Energy-saving Vehicles
With the application of the information of road and traffic in a certain future predictive route provided by Global Position System (GPS) and Geographic Information System (CIS) on board, and the current running state model of the HEV, a running state model of the HEV in a certain future predictive route is set up. With the adoption of dynamic programming inverted algorithm, a mathematical model for predictive control on a medium HEV is established, which takes the accumulator state of charge as system state variable, secondary component torque as decision variable, and the minimal equivalent fuel consumption of a HEV as optimal control objective function. The optimal control method for torque distribution of a HEV is studied, and a study on how to reduce the calculated amount of dynamic programming is also camed out. Result of a calculation example concerning the optimal control on a certain HEV is supplied in the thesis.
HEV(Hydraulic Energy-saving Vehicles) Hydraulic Pump/Moror Braking Energy Recovey Dynamic Control
Liu Xinhui Wang Wei Zhang Cui Guo Rui
Institute of Mechanical Science and Engineering, Jilin University, Changchun 130022, China Section of PLA Representation in 447 Factory, Baotou, 014033, China
国际会议
成都
英文
49-53
2010-12-17（万方平台首次上网日期，不代表论文的发表时间）