CAJ | 학술논문

针对并联混合动力汽车在发动机和电动机工作状态切换过程中非线性动力耦合系统工作状态所具有的混沌特征，提出了基于混沌神经网络的混合动力汽车状态切换协调控制策略。建立了协调控制总体模型构架，设计了混沌神经网络工作状态识别器，并通过试验对该识别器的准确性进行了验证。在此基础上搭建了协调控制系统整车控制模型，针对协调控制策略进行了仿真试验。结果表明，采用该控制策略能够有效提高整车动力性、燃油经济性与SOC平衡性，实现了对状态切换过程的协调控制。
침대병련혼합동력기차재발동궤화전동궤공작상태절환과정중비선성동력우합계통공작상태소구유적혼돈특정，제출료기우혼돈신경망락적혼합동력기차상태절환협조공제책략。건립료협조공제총체모형구가，설계료혼돈신경망락공작상태식별기，병통과시험대해식별기적준학성진행료험증。재차기출상탑건료협조공제계통정차공제모형，침대협조공제책략진행료방진시험。결과표명，채용해공제책략능구유효제고정차동력성、연유경제성여SOC평형성，실현료대상태절환과정적협조공제。
In view of the chaos characteristics of nonlinear dynamic coupling system during the working state switching process of parallel hybrid electric vehicle (HEV) engine and electric motor, the HEV’s state switching coordinated control strategy based on chaotic neural network is proposed. The overall coordinated control model architecture is established, the chaotic neural network working state recognizer is designed, and the accuracy of the recognizer is verified through experiments. On this basis, the vehicle control platform of coordinated control system is constructed, and the simulated test is carried out for the coordinated control strategy. The results show that vehicle dynamic performance, fuel economy and battery SOC balance are effectively improved with this control strategy, the coordinated control of the working state switching is realized.