Study On Energy Management And Coordinated Control For TTR Dual-Motor Hybrid Power-Train System

Petrol-electric hybrid has been regarded as the most likely to replace the internal combustion engine,which also has the broad prospects for development of new energy configuration.However it doesn't develop rapidly as predicted,the main reason is that the development of VCU algorithm is not mature.Now the engineering application of energy management strategy is mainly based on rules,which is simple and fast.But the mode switch is stiff and can't adapt to the dynamic condition.The optimized algorithm is just stay in the theoretical research stage,which has lots of problems for engineering application.In the process of mode switch,as the characteristics of engine and motor are different,the vehicle has very strong impact,which seriously influent the driving comfort.How to develop energy management and coordination control algorithm which both practical and ideal control effect is a hotspot of current research.This article first selects the hybrid configuration,matches parameters based power and efficiency,constructs the vehicle dynamics model,then sets on energy management strategy based on gears and rules,divides into different work modes,distributes the torque,and implements the work space relatively optimal of engine and motor.This paper based on the gears and rules energy management strategy,optimizes the three parameters which are engine cut-in speed,EV mode initial SOC and driving charge termination of SOC,develops a self-adaption genetic algorithm(SAGA)and neural network based on self-adaption genetic algorithm(SAGA-BP),and respectively compares the effect of two kinds of algorithm.Finally,through the motor power compensation,solved the problems of the model switching process dynamic impact.In this paper,the main research contents and conclusions are as follows:1.TTR Dual-Motor parameters matching and modeling.Matches parameters based power and efficiency,builds the vehicle dynamics model and simulates the vehicle dynamics.The simulation results show that the dynamics indexes which are maximum speed,accelerating time and maximum gradient meet the requirements,so as to verify the correctness of the model.2.The research of gear-coupling-ruled energy management strategy.First,sets on the fuzzy identifier which identifies the acceleration of the drivers' intention.Then,modifies the acceleration pedal,and computes the vehicle demand torque.After that,develops the gear-coupling-ruled energy management strategy,in which divides the work modes based on the gear information,and distributes reasonably the power torque.Finally,simulates the economy of cycle condition.The results show that strategy conforms engine and motor working points in a relatively efficient range.3.The research of SAGA-BP natural network energy management research.Improves the genetic algorithm fitness,crossover and mutation rate,and optimizes gear-coupling-ruled energy management strategy;Uses the self-adaptive genetic algorithm to optimize the vector and momentum factor of BP neural network and applies to the energy management strategy;In view of the algorithm running time and the energy saving effect,analysis the simulation results of SAGA and SAGA-BP.Although SAGA can dig maximum energy-saving potential,the operation time is very long;SAGA-BP greatly shorten the operation time and energy-saving effect is obvious,which provides a possibility for the engineering application.4.The research of coordination control of TTR dual-motor hybrid System.Based on the states of engine,motor and clutch,divides the mode switches into A and B category;For three stages of A category,establishes the drive system dynamics model,deduces the impact degree formula and develops the mode switching control strategy;For class B,develops the control strategy of “engine load + real-time engine torque +motor torque compensation”The practical significance of this paper is developing a utility engineering and control effect energy management and coordination control strategy,provides theoretical basis for TTR dual-motor hybrid Power-Train System vehicle controller of VCU.The problems of engine frequent started and mode frequent switched have been solved by driver intention recognition and controlling the time of engine working;Considering the engineering application and effect of optimization,develops the SAGA-BP optimization algorithm.Solves the problem of mode switching power impact by motor torque compensation;...