基于DP算法的复合电源混合动力系统控制优化

Control Optimization of Hybrid System with Hybrid Power Based on DP Algorithm

针对复合电源混合动力系统能量管理的复杂多样性,以蓄电池和超级电容的荷电状态为状态变量,以发动机、电机的转矩分配比和蓄电池、超级电容的功率分配比为控制变量,将发动机燃油经济性和排放性作为目标函数,提出基于动态规划算法(Dynamic Programming)的复合电源混合动力系统控制策略,从结果中提取发动机、电机、蓄电池和超级电容工作规律,对发动机、电机的规则控制和蓄电池、超级电容的模糊控制进行优化。结果表明:通过DP算法优化后的系统发动机燃油经济性和排放性比原系统分别提高了13%和27.74%,说明优化后的控制的正确性和有效性。

Aiming at the complexity and diversity of energy management for HEV(hybrid electric vehicle) with hybrid power, taking the State of Charge of power battery and ultracapacitor as state variable, the torque distribution ratio between engine and motor, and the power distribution ratio between power battery and ultracapacitor as control variables, the fuel economy and emission performance as objective function, the Dynamic Programming (DP) control strategy for HEV with hybrid power is proposed.The working rules of the engine, motor, battery and ultracapacitor, are extracted from the results, and the rules of engine and motor and the fuzzy control of storage battery and supercapacitor are optimized.The simulation results showed that the fuel economy performance and emission performance is increased by 13% and 27.74% respectively compared with the original control strategy, which proves the accuracy and validity of proposed control strategy for HEV with hybrid power.