中国机械工程2011，Vol.22Issue(18)：2259-2263,5.
混联式混合动力客车全局优化控制策略研究
Development of Power--balancing Global Optimization Control Strategy for a Series--parallel Hybrid Electric City Bus
摘要
Abstract
A novel series-- parallel hybrid electric city bus power--train scheme was presented, the battery power and state of charge were set as the control variable and control state respectively. To maintain the state of charge in the reasonable range, the power of battery was converted into correspond- ing equivalent fuel consumption in every stage, a cost function of each state was constituted the sum of the battery equivalent fuel consumption and the actual fuel consumption. The discrete dynamic programming algo- rithm was used to obtain the minimum fuel consumption and the corresponding control variable in every stage respectively. Furthermore, a vehicle simulation model was built up to verify the dynamic programming global optimization control strategy based on the Chinese transit bus city driving cycle. The simulation results indicate that the fuel economy of proposed control strategy is higher 6 % than the instantaneous optimization con- trol strategy, and also advances 35% than the prototype city bus.关键词
客车/混合动力传动/控制策略/动态规划Key words
city bus/hybrid electric powertrain/control strategy/dynamic programming分类
交通工程引用本文复制引用
林歆悠,孙冬野,秦大同,尹燕莉..混联式混合动力客车全局优化控制策略研究[J].中国机械工程,2011,22(18):2259-2263,5.基金项目
基金项目：国家自然科学基金资助项目（51075410) （）
