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

作　　者：林歆悠[1] 孙冬野[1] 秦大同[1] 尹燕莉[1] 

机构地区：[1]重庆大学机械传动国家重点实验室,重庆400030

出　　处：《中国机械工程》2011年第18期2259-2263,共5页China Mechanical Engineering

基　　金：国家自然科学基金资助项目(51075410)

摘　　要：为提高一款新型混联式混合动力客车的整车燃油经济性,制定了能量管理控制策略,以电池功率为控制变量,电池荷电状态(soc)为状态变量,为合理均衡使用电池功率,把每阶段时间内使用的电池功率等效为相应的燃油消耗量,并把每阶段电池的等效燃油消耗量和发动机燃油消耗量的总和作为目标函数,采用离散动态规划算法进行优化,基于MATLAB/Simulink仿真平台建立整车数值模型,在典型城市循环工况下对所建立的基于动态规划的功率均衡全局优化控制策略进行仿真验证。结果表明:其燃油经济性与采用瞬时优化控制策略相比提高了6%左右,与原型传统客车相比提高了35%。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 

分 类 号：U462.3[机械工程—车辆工程]