闫荣格,闫春娇,杨庆新,张献.电动汽车无线充电系统PBC-NDO复合控制器设计与参数优化[J].电测与仪表,2025,62(1):199-207. Yan Rongge,Yan Chunjiao,Yang Qingxin,Zhang Xian.Design and parameter optimization of PBC-NDO composite controller for electric vehicle wireless charging system[J].Electrical Measurement & Instrumentation,2025,62(1):199-207.
电动汽车无线充电系统PBC-NDO复合控制器设计与参数优化
Design and parameter optimization of PBC-NDO composite controller for electric vehicle wireless charging system
针对电动汽车无线充电系统在变电压间歇快速充电过程中由原副边线圈偏移和负载波动引起充电电压不稳定的问题,以及控制器参数大多依靠经验值和试凑法选取的问题,提出一种基于粒子群优化算法的无源控制器(passivity based controller, PBC)与非线性干扰观测器(nonlinear disturbance observer, NDO)相结合的复合控制策略。针对无线电能传输(wireless power transfer, WPT)系统副边DC-DC变换器设计考虑干扰补偿的无源控制器,通过引入非线性干扰观测器对干扰量进行估计,将干扰估计值与无源控制器结合,设计适合电动汽车变电压间歇无线充电系统的PBC-NDO复合控制器,采用粒子群多目标优化算法对复合控制器进行参数寻优,进一步提高控制器的抗干扰性能以及动态响应性能,通过仿真和实验验证该策略的有效性。实验结果表明:复合控制器具有强抗干扰性和动态响应性,充电阶段最大稳态误差偏移率为2%,动态响应时间控制在0.6 ms内。
英文摘要:
Aiming at the problems that the charging voltage of the wireless charging system of electric vehicle is unstable due to the offset of the primary and secondary coils and load fluctuation in the process of variable voltage intermittent fast charging, and the controller parameters are mostly selected by empirical value and trial and error method, a composite control strategy combining passivity based controller (PBC) and nonlinear disturbance observer (NDO) based on particle swarm optimization algorithm is proposed. A passivity based controller considering interference compensation is designed for the secondary DC-DC converter of wireless power transfer (WPT) system. The nonlinear interference observer is introduced to estimate the interference, and the interference estimation value is combined with the passivity based controller to design a PBC-NDO composite controller suitable for variable voltage intermittent wireless charging system of electric vehicles. Particle swarm optimization algorithm is used to optimize the parameters of the composite controller to further improve the anti-interference performance and dynamic response performance of the controller. The effectiveness of the proposed method is verified by simulation and experiments. The experimental results show that the composite controller has strong anti-interference and dynamic response, the maximum steady-state error offset rate in the charging stage is 2%, and the dynamic response time is controlled within 0.6 ms.