Electric vehicles to renewable-three unequal areas-hybrid microgrid to contain system frequency using mine blast algorithm based control strategy

It is known that keeping the power balance between generation and demand is crucial in containing the system frequency within acceptable limits. This is especially important for renewable based distributed hybrid microgrid (DHμG) systems where deviations are more likely to occur. In order to address these issues, this article develops a prominent dual-level “proportional-integral-one plus double derivative {PI−(1 + DD)} controller” as a new controller for frequency control (FC) of DHμG system. The proposed control approach has been tested in DHμG system that consists of wind, tide and biodiesel generators as well as hybrid plug-in electric vehicle and an electric heater. The performance of the modified controller is tested by comparing it with standard proportional-integral (PI) and classical PID (CPID) controllers considering two test scenarios. Further, a recently developed mine blast technique (MBA) is utilized to optimize the parameters of the newly designed {PI − (1 + DD)} controller. The controller’s performance results are compared with cases where particle swarm optimization (PSO) and firefly (FF) techniques are used as benchmarks. The superiority of the MBA-{PI − (1 + DD)} controller in comparison to other two strategies is illustrated by comparing performance parameters such as maximum frequency overshoot, maximum frequency undershoot and stabilization time. The displayed comparative objective function (J) and JFOD index also shows the supremacy of the proposed controller. With this MBA optimized {PI − (1 + DD)} controller, frequency deviations can be kept within acceptable limits even with high renewable energy penetration.

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Study on Regenerative Braking Control Strategy for Extended Range Electric Vehicles

2020 IEEE Vehicle Power and Propulsion Conference (VPPC) ◽

10.1109/vppc49601.2020.9330885 ◽

2020 ◽

Author(s):

Yongliang Li ◽

Changlu Zhao ◽

Ying Huang ◽

Xu Wang ◽

Fen Guo ◽

...

Keyword(s):

Electric Vehicles ◽

Control Strategy ◽

Regenerative Braking ◽

Extended Range ◽

Braking Control

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A Feedback Control Strategy for Torque-Vectoring of IWM Vehicles

Volume 3: 16th International Conference on Advanced Vehicle Technologies; 11th International Conference on Design Education; 7th Frontiers in Biomedical Devices ◽

10.1115/detc2014-34372 ◽

2014 ◽

Cited By ~ 3

Author(s):

Francesco Braghin ◽

Edoardo Sabbioni ◽

Gabriele Sironi ◽

Michele Vignati

Keyword(s):

Electric Vehicles ◽

Automotive Industry ◽

Control Strategy ◽

Control Logic ◽

Power Train ◽

Vehicle Handling ◽

Torque Vectoring ◽

Feedback Control Strategy ◽

Object Of Study ◽

Yaw Moment

In last decades hybrid and electric vehicles have been one of the main object of study for automotive industry. Among the different layout of the electric power-train, four in-wheel motors appear to be one of the most attractive. This configuration in fact has several advantages in terms of inner room increase and mass distribution. Furthermore the possibility of independently distribute braking and driving torques on the wheels allows to generate a yaw moment able to improve vehicle handling (torque vectoring). In this paper a torque vectoring control strategy for an electric vehicle with four in-wheel motors is presented. The control strategy is constituted of a steady-state contribution to enhance vehicle handling performances and a transient contribution to increase vehicle lateral stability during limit manoeuvres. Performances of the control logic are evaluated by means of numerical simulations of open and closed loop manoeuvres. Robustness to friction coefficient changes is analysed.

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