Passivity-Based PI Control for Receiver Side of Dynamic Wireless Charging System in Electric Vehicles

Liu, Jia; Liu, Zhitao; Su, Hongye

doi:10.1109/tie.2021.3050350

Cited by 59 publications

(13 citation statements)

References 35 publications

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“…Lindgren et al gave the exact slope distribution and other characteristic distributions of symmetric and asymmetric Lagrangian spatiotemporal waves at level crossings [18,19]. In addition, some studies are extended to the general PBC method from the perspective of robust control and optimal control of general PCH systems [20][21][22][23][24][25][26]. ese results have been proved to be expressed in a Lagrangian form.…”

Section: Introductionmentioning

confidence: 99%

Design of Asynchronous Motor Controller Based on Controlled Lagrangians Method

Yun-bo

Liu²,

et al. 2022

Mathematical Problems in Engineering

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Asynchronous motor system has the characteristics of high order, strong coupling, and nonlinearity. From the dynamical model, it is the underactuated mechanical system, which means that the dimension of its input space is fewer than the degree of freedom. Following this perspective, the energy based nonlinear control technology-CL (controlled Lagrangians) method is used to solve the control problem in this paper. Based on the expected controlled energy and its derivative with respect to time, controlled Lagrangians and generalized force are constructed, and they produce the controlled equations. In order to ensure the complete matching between the controlled equation and the original equation, the gyroscopic forces containing the first-order term of velocity are innovatively introduced into the generalized force, and the matching conditions are obtained. By solving the matching conditions composed of some partial differential equations, the nonlinear smooth feedback control law can realize the global asymptotic stabilization of not only velocity but also position. Finally, the controlled energy is selected as the Lyapunov function, and the stability is proved according to the LaSalle invariant theorem. The effectiveness of the designed control law is demonstrated in the results of the simulation.

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Section: Introductionmentioning

confidence: 99%

Design of Asynchronous Motor Controller Based on Controlled Lagrangians Method

Yun-bo

Liu²,

et al. 2022

Mathematical Problems in Engineering

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“…Based on the port-controlled Hamiltonian structure, it is reported in [34,35] that the authors propose a PI-PBC to stabilize a large class of power converters with the globally asymptotically stability. Following this work, the PI-PBC is used for controlling the dynamic wireless charging system, MMC multi-terminal HVDC systems and wind energy conversion system [36][37][38]. For the photovoltaic/battery hybrid power source system, an adaptive PBC is designed [39].…”

Section: Introductionmentioning

confidence: 99%

Stabilization of DC–DC buck converter with unknown constant power load via passivity‐based control plus proportion‐integration

Namazi

Koofigar

et al. 2021

IET Power Electronics

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It is known that constant power load (CPL) may cause a negative impedance, which seriously affects the stability of power system. In this paper, a new control algorithm for DC–DC buck converter feeding unknown CPL is proposed. First, under the assumption of known extracted power load, the standard passivity–based control (PBC) is presented to reshape the system energy and compensate for the negative impedance and a proportion‐integration (PI) action around passive output is added to improve disturbance rejection performance, which forms the PBC plus PI (PBC+PI). Then, a parameter estimation algorithm is developed, based on immersion and invariance (I&I) technique, in order to online estimate the extracted power load. In the next step, the online estimation scheme is adopted to construct an adaptive strategy. Finally, the stability analysis of the cascaded system containing a closed‐loop control system and observer error dynamics is conducted. Simulation and experimental results are demonstrated to validate the performance of the proposed controller.

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“…Several user-end control methods have been proposed, which can be classified into "Communication-based" and "Communication-free" manners [17,[23][24][25][26][27][28][29][30]. These methods are usually designed for primary-side inverters only, or both for front-end inverters and user-side buck converters.…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, this study does not attempt to verify the interference situation. References [28,29] illustrate the unified power control in dynamic charging of electric vehicles. The energy is controlled by a buck converter connected to the secondary side rectifier, and both cover only speed or voltage input interference.…”

Section: Introductionmentioning

confidence: 99%

Stability Improvement of Dynamic EV Wireless Charging System with Receiver-Side Control Considering Coupling Disturbance

et al. 2021

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Receiver-side control has been a reliable practice for regulating the transferred energy to the batteries in the electric vehicle (EV) wireless power transfer (WPT) systems. Nonetheless, the unpredictable fluctuation of the mutual inductance in dynamic wireless charging brings extreme instability to the charging process. This overshoot that appears in instant vibrations may largely increase the voltage/current stress of the system, and even cause catastrophic failure in the battery load. In addition, the speed of the vehicles may lead to untraceable steady-state operation. However, existing solutions to the above two issues suffer from either long communication time delay or significantly compromised output regulation. In this paper, the slow dynamics and the overshoot issues of the WPT system are elaborated in theory, and the small-signal model mainly considering mutual inductance disturbance is established. A simple feedforward control is proposed for overshoot damping and fast system dynamics. Experimental results validate that the overshoot can be reduced by 13% and the settling time is improved by 50% in vehicle braking or acceleration. In constant speed driving, the battery charging ripple is decreased by 12% and ensures better system stability.

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Passivity-Based PI Control for Receiver Side of Dynamic Wireless Charging System in Electric Vehicles

Cited by 59 publications

References 35 publications

Design of Asynchronous Motor Controller Based on Controlled Lagrangians Method

Design of Asynchronous Motor Controller Based on Controlled Lagrangians Method

Stabilization of DC–DC buck converter with unknown constant power load via passivity‐based control plus proportion‐integration

Stability Improvement of Dynamic EV Wireless Charging System with Receiver-Side Control Considering Coupling Disturbance

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