Deep Reinforcement Learning Guided Cascade Control for Air Supply of Polymer Exchange Membrane Fuel Cell,Energy Technology

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Deep Reinforcement Learning Guided Cascade Control for Air Supply of Polymer Exchange Membrane Fuel Cell
Energy Technology ( IF 3.6 ) Pub Date : 2021-07-18 , DOI: 10.1002/ente.202100149
Jianhao Zhou _{1,

2} , Yuhui Liao ₂ , Jun Liu ₂ , Yuan Xue ₂ , Siwu Xue ₂

Affiliation

The power consumption of an electric air compressor becomes the major parasitic energy waste leading to the deterioration of net efficiency of the fuel cell system (FCS). Optimal control of the oxygen excess ratio (OER) is recognized as a feasible way to resolve the paradox of stack health and system efficiency. Herein, a novel cascade control scheme that leverages model predictive control (MPC), fuzzy Proportion Integral control (FPI), and deep reinforcement learning technique is proposed to regulate the OER for a 75 kW FCS. The master-slave control structure is adopted, and a reference air mass flow rate and the motor voltage of the air compressor are taken as control targets, respectively. A deep deterministic policy gradient (DDPG) algorithm is used as a parameter tuner for MPCProportion Integral (PI) controller. The results indicate that both MPCFPI and DDPGMPCPI can achieve better control performance indices in comparison to classic controller under step response and a typical driving cycle. The DDPG-guided cascade controller is also capable of regulating the OER tracking error and the derivative of rotation speed of the air compressor, which reveals the potential for extending the longevity of the FCS.

中文翻译：

聚合物交换膜燃料电池供气的深度强化学习引导级联控制

电动空气压缩机的功耗成为主要的寄生能量浪费，导致燃料电池系统（FCS）的净效率下降。氧过量比 (OER) 的最佳控制被认为是解决烟囱健康和系统效率悖论的可行方法。在此，提出了一种利用模型预测控制 (MPC)、模糊比例积分控制 (FPI) 和深度强化学习技术的新型级联控制方案来调节 75 kW FCS 的 OER。采用主从控制结构，分别以参考空气质量流量和空压机电机电压为控制目标。深度确定性策略梯度 (DDPG) 算法用作 MPCProportion Integral (PI) 控制器的参数调谐器。结果表明，在阶跃响应和典型驾驶循环下，与经典控制器相比，MPCFPI 和 DDPGMPCPI 都可以实现更好的控制性能指标。DDPG 引导的多级控制器还能够调节 OER 跟踪误差和空气压缩机转速的导数，这揭示了延长 FCS 寿命的潜力。

更新日期：2021-09-09

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