基于动态规划算法的并联式混合动力汽车能源优化管理
发布时间:2019-04-04 14:58
【摘要】:以提高燃油经济性为主要目标,建立并联式混合动力汽车能源优化分配控制策略.对动态规划算法进行改进,在汽车行驶过程中全局优化分配内燃机和蓄电池两种动力源的输出功率,以提高能源利用率.通过仿真软件ADVISOR2002的仿真结果表明:在相同条件下,采用改进型DP算法对并联式混合动力汽车进行能量优化时,大大缩短了仿真时间;与基于开关式能源优化管理策略油耗相比,采用改进型DP算法的能源优化管理系统,油耗可降低33%.
[Abstract]:In order to improve fuel economy, the optimal energy distribution control strategy of parallel hybrid vehicle is established. The dynamic programming algorithm is improved in order to optimize the output power of internal combustion engine and battery in order to improve the energy efficiency. The simulation results of the simulation software ADVISOR2002 show that under the same conditions, the simulation time is greatly shortened when the improved DP algorithm is used to optimize the energy of the parallel hybrid electric vehicle. Compared with the fuel consumption based on switching energy optimization management strategy, the fuel consumption of the energy optimization management system based on the improved DP algorithm can be reduced by 33%.
【作者单位】: 上海海事大学物流工程学院;上海应用技术学院电气与电子工程学院;
【基金】:国家自然科学基金(61374132)
【分类号】:U469.7
本文编号:2453923
[Abstract]:In order to improve fuel economy, the optimal energy distribution control strategy of parallel hybrid vehicle is established. The dynamic programming algorithm is improved in order to optimize the output power of internal combustion engine and battery in order to improve the energy efficiency. The simulation results of the simulation software ADVISOR2002 show that under the same conditions, the simulation time is greatly shortened when the improved DP algorithm is used to optimize the energy of the parallel hybrid electric vehicle. Compared with the fuel consumption based on switching energy optimization management strategy, the fuel consumption of the energy optimization management system based on the improved DP algorithm can be reduced by 33%.
【作者单位】: 上海海事大学物流工程学院;上海应用技术学院电气与电子工程学院;
【基金】:国家自然科学基金(61374132)
【分类号】:U469.7
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