CAJ | 학술논문

　　汽车零件的智能化程度越来越高，其结构日趋复杂，控制难度大。本文提出一种基于多目标约束算法的车辆控制参数优化算法。该算法在满足汽车一些特殊场合的前提下加入必要的约束，有效的多混合参数进行最优化计算，对汽车的性能，每公里的耗油量进行优化控制达到节能减排的目的。计算机仿真实验证明，改进后的动力汽车在能耗性能上有了较为明显地提高。
　　기차령건적지능화정도월래월고，기결구일추복잡，공제난도대。본문제출일충기우다목표약속산법적차량공제삼수우화산법。해산법재만족기차일사특수장합적전제하가입필요적약속，유효적다혼합삼수진행최우화계산，대기차적성능，매공리적모유량진행우화공제체도절능감배적목적。계산궤방진실험증명，개진후적동력기차재능모성능상유료교위명현지제고。
Auto parts in increasingly more intelligent, increasing complexity of its structure and control difficult. The pa-per presents a vehicle control parameters optimization algorithm based on multi-objective constraint algorithms. Algo-rithm to meet in some special occasions, subject to adding the necessary constraints, effective optimization of mix param-eters, performance of the car per kilometer fuel consumption optimizing control to achieve the purpose of energy saving and emission reduction. Later computer simulation experiments show that improved energy consumption performance of electric vehicles in a more obvious improvement.