Development of supervisory control strategy for optimized fuel consumption of the compound hybrid excavator
Development of supervisory control strategy for optimized fuel consumption of the compound hybrid excavator
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DOI：
10.1177/0954407012447019
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发表时间：
2012-01-01
影响因子：
1.7
通讯作者：
Yi, Kyongsu
中科院分区：
文献类型：
--
作者：
Kim, Hakgu;Choi, Jaewoong;Yi, Kyongsu
本文介绍了一种混合动力监督控制策略的燃料优化的复合混合动力挖掘机，包括一个发动机辅助电机，一个电动摆动电机和一个超级电容器在原来的驱动系统。复合式混合动力挖掘机的主要特点是电动回转电机增加了能量路径的数量，同时也带来了许多与混合动力传动系功率平衡相关的限制。动态规划技术已被应用到具有代表性的挖掘周期的约束非线性燃料优化问题。然后，通过模仿动态规划优化方案的行为，基于规则的控制器已被设计。基于规则的控制器确定柴油发动机设定速度和发动机辅助电动机功率，以使发动机在有效区域中操作并使混合动力传动系中的能量损失最小化。基于规则的控制器的性能进行了比较的恒温器控制器，它确定的能量分布，仅基于所应用的超级电容器的充电状态。仿真结果表明，复合混合动力挖掘机可以提高约20%的总燃油效率相比，传统的挖掘机为代表的挖掘周期，和建议的基于规则的控制器进一步提高燃油经济性约2-3%相比，简单的恒温控制器。
This paper describes a hybrid supervisory control strategy for fuel optimization of a compound hybrid excavator that incorporates an engine-assist motor, an electric swing motor and a super capacitor in the original drive train. The main features of the compound hybrid excavator are that the electrically-propelled swing motor increases the number of energy paths and also incurs many constraints related to the power balance of the hybrid drive train. The dynamic programming technique has been applied to the constrained nonlinear fuel optimization problem over representative excavation cycles. Then, by imitating the behaviour of the dynamic programming optimization scheme, a rule-based controller has been designed. The rule-based controller determines the diesel engine set speed and the engine-assist motor power to operate the engine in an efficient region and to minimize the energy loss in the hybrid drive train. The performance of the rule-based controller has been compared to that of the thermostat controller, which determines the energy distribution, only based on the state of charge of the applied super capacitor. Simulation results indicate that the compound hybrid excavator can improve overall fuel efficiency by about 20% compared to the conventional excavator for representative excavation cycles, and the proposed rule-based controller further enhances the fuel economy by about 2-3% compared to the simple thermostat controller.