CAJ | 학술논문

介绍了增程式电动汽车的特点和结构，讨论了其工作模式和控制策略。以系统循环损失能量最小为优化目标，设计了带精英策略的非支配遗传基因算法( NSGA-II)的外部优化程序，采用仿真软件ADVISOR对增程式电动汽车控制策略参数进行优化。结果表明，采用所提出的优化算法找到了一组全局优化的控制参数，使整车系统循环损失能量得到有效降低。
개소료증정식전동기차적특점화결구，토론료기공작모식화공제책략。이계통순배손실능량최소위우화목표，설계료대정영책략적비지배유전기인산법( NSGA-II)적외부우화정서，채용방진연건ADVISOR대증정식전동기차공제책략삼수진행우화。결과표명，채용소제출적우화산법조도료일조전국우화적공제삼수，사정차계통순배손실능량득도유효강저。
The features and structure of range extended electric vehicles ( REEV) are presented and its op-erating modes and control strategies are discussed. The external optimization program of non-dominated sorting ge-netic algorithm ( NSGA-II) is developed and an optimization on the control parameters of REEV is conducted by u-sing simulation software ADVISOR, with minimizing the energy loss of system in a driving cycle as optimization ob-jective. The results show that by using the optimization algorithm proposed, a set of control parameters is found, ef-fectively reducing the energy loss of system.