Research On Control Strategy Of Hybrid Electric Vehicle Based On Driver Intention Recognition

Modern automobile has grown from scratch to everything,from simple to complex,now it has become an indispensable means of transportation in people's life.However,the limitation of oil resources storage and the traditional automobile exhaust emission are more and more difficult to meet the theme of "safety,environmental protection and energy saving" in the automobile industry,and the hybrid electric vehicle has welcomed the opportunity of development.Hybrid vehicle energy management is the core of vehicle control,and the control strategy caters to the driver's operation is the main trend of development:According to real-time acquisition of driver's operation signal and car status to identify the driver's driving intention,calculate the vehicle demand torque matching the corresponding control strategy to distribute the torque management,and thus play a role in affecting the overall vehicle safety and economic performance.The full text includes the following research contents:Experimental data of a large number of accelerator pedals and brake pedal opening degrees and their rate of change were collected through real vehicle experiments.The principles and equipment for data acquisition were introduced.Fuzzy C-means clustering analysis was performed on the collected data.For the after study and application.A detailed description of the driving intent identification method.The identification parameters for driver acceleration intention,braking intention and driving style are determined.The basic theory of fuzzy identification is introduced,and the membership functions and fuzzy inference rules of the identification parameters are established.Using the fuzzy toolbox in MATLAB,three kinds of driving intent fuzzy recognition models were built.Through the T-S fuzzy neural network,the driving intent recognition module is optimized and the accuracy of driving intent recognition module is improved.This paper introduces the construction of simulation model of hybrid bus based on CRUISE software,and verifies the feasibility of the simulation according to the model of the original vehicle.The selection of the main power components in the simulation model construction process is introduced.Based on MATLAB/Simulink software,a control strategy model was set up.The dynamic control strategy,adaptive control strategy,economical control strategy and comprehensive control strategy based on driving style recognition were introduced respectively.The integrated control strategy can identify driving style online.Adjust the corresponding control strategy in time.Different control strategies and simulation calculations under different cycling conditions were performed on the vehicle model.Four evaluation indicators,namely battery SOC,fuel economy,emission,and engine efficiency,were analyzed,demonstrating the significance of the comprehensive control strategy.