Plug-in hybrid electric vehicles (PHEVs) are considered to be a better choice than conventional hybrid electric vehicles due to environmental concerns. There are two main subsystems in the PHEVs power system namely: integrated charging unit (ICU) and hybrid energy storage system (HESS). In this work three energy sources fuel cell (FC), battery and ultra-capacitor (UC) are considered. Keeping in view of different challenging aspects like actuator limits and nonlinear nature of power conditioning circuits in ICU and HESS, design of robust nonlinear controller is still a challenge. Conventional Supertwisting Algorithm (STA) based controller exhibits wind-up effects when control signal is saturated which deteriorates the dynamic response of the controller. In order to resolve this issue, conditioning technique is used to propose conditioned Supertwisting algorithm (CSTA) based controller which mitigates the wind-up phenomenon when the control signal is saturated and exhibits better dynamic performance in the presence of external disturbances. Moreover, energy management algorithm in HESS is also presented in which State of Charge (SoC) of the battery and UC is taken as a decisive factor for the execution of rule-based strategy. Asymptotic stability of the system is proved using Lyapunov stability criterion. Simulations are performed in Matlab/Simulink ODE 45 environment which show the comparison of the proposed controller with conventional STA-based controller. The results show better performance of proposed controller when the control signals are saturated but at the same time conventional STA does not exhibit good response due to integrator wind-up. For the real-time control of PHEV, hardware in loop (HIL)-based experimental verification is also done.

由于环境问题，插电式混合动力汽车 (PHEV) 被认为是比传统混合动力汽车更好的选择。PHEVs动力系统有两个主要子系统，即：集成充电单元（ICU）和混合储能系统（HESS）。在这项工作中，考虑了燃料电池 (FC)、电池和超级电容器 (UC) 三种能源。鉴于ICU和HESS中的执行器限制和电源调节电路的非线性特性等不同的挑战方面，鲁棒非线性控制器的设计仍然是一个挑战。当控制信号饱和时，传统的基于超扭曲算法 (STA) 的控制器表现出卷绕效应，这会降低控制器的动态响应。为了解决这个问题，调节技术用于提出基于条件超扭曲算法（CSTA）的控制器，该控制器在控制信号饱和时减轻缠绕现象，并在存在外部干扰的情况下表现出更好的动态性能。此外，还提出了 HESS 中的能量管理算法，其中将电池和 UC 的充电状态 (SoC) 作为执行基于规则的策略的决定性因素。利用Lyapunov稳定性判据证明了系统的渐近稳定性。仿真是在 Matlab/Simulink ODE 45 环境中进行的，该环境显示了所提出的控制器与基于 STA 的传统控制器的比较。结果表明，当控制信号饱和时，所提出的控制器具有更好的性能，但同时由于积分器饱和，传统 STA 没有表现出良好的响应。对于PHEV的实时控制，还进行了基于硬件在环（HIL）的实验验证。