Study Of Parallel Phev Control And Energy Management System

Plug-in hybrid electric vehicle compared to conventional hybrid vehicles have better fuel economy and emissions. Longer pure electric travel mileage and convenience of an external plug-in designed to make this new car has a good future; the world's major automakers are developing cars to join the ranks of the class. However, there are a lot of PHEV difficulties in the designation, including the choice of dynamic coupling, the key components of manufacturing and matching, vehicle control algorithm and energy management systems designation. The main problem is directly related to power PHEV's, economy, life and everyday normal use, such as mileage, so PHEV vehicle control and energy management study of great practical significance.This paper describes the plug-in hybrid vehicle control technology Research and development trends, Analysising the structure type, to choice one of the coupling power type, the key components of the coupling mode parameter matching, and the appropriate design of energy management and control coupling algorithms are optimized to get reasonable parameters. Structures of the vehicle model using dSPACE control system development environment and tools, on-line computer control algorithm simulation and off-line simulation, and the results were analyzed. Verify the controller model meets the design requirements. Finally, experimental verification of the energy of the basic functions of management control algorithms, control algorithms using controldesk software calibration time parameters, to meet the control requirements; the use of force set up a good platform for hybrid systems, the actual power coupled in the analysis of the problem of coordinated control design coupled control algorithm model, the control parameters through the calibration experiments, reduce the system shock and overload problems.Design of parallel PHEV vehicle control and energy management to complete the vehicle controller of energy control algorithm calibration and validation; use of the coupling structures of coupled dynamic platform for key issues in the course of, by improving the control algorithm to solve the mode switching process Shock and overload, and achieved fruitful results.