Fuzzy Logic Control for energy saving in Autonomous Electric Vehicles

Al-Jazaeri, A. O.; Samaranayake, Lilantha; Longo, Stefano; Auger, Daniel J.

doi:10.1109/ievc.2014.7056100

Cited by 20 publications

(8 citation statements)

References 12 publications

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“…The fuzzy logic controller is used for speed control with the driver model controlling feature [163]. The criteria for control design with reduction of absolute internal error is considered, and its performance is compared with Fuzzy logic controller, i.e., type 1, PID of driver model control [163] [164]. Additionally, criteria of particle swarm optimization are involved in the control design.…”

Section: ) Fuzzy Logic Controller In Autonomous Electric Vehiclementioning

confidence: 99%

Blockchain and Autonomous Vehicles: Recent Advances and Future Directions

et al. 2021

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Blockchain is an underlying technology for securing many real-time applications and their data. The automobile is one such sector in which auto-manufacturers are looking forward to accepting the advantages of distributed ledger technology in autonomous vehicles or systems and improving their products, customer satisfaction, and other valuable experiences. This work aims to find the significance of blockchain technology in Autonomous Vehicles, including Autonomous Electric Vehicles (AEV), Autonomous Underwater Vehicles (AUV), Autonomous Guided Vehicles (AGV), Autonomous Aerial Vehicles (AAeV), and Autonomous Driving. In this work, a comparative analysis of blockchain-integrated autonomous vehicle systems is explored to identify the present scenario and futuristic challenges. In addition to blockchain technology, the uses and importance of sensors, architectures and infrastructure requirements, vehicle types, driving modes, vehicles target and tracking approaches, intelligent contracts, intelligent data handling, and industry-specific use cases are also explored. This study is based on the exploration of recent technologies and practices. As autonomous vehicles are expected to be the future of intelligent transportation, this paper surveys recent advances in autonomous vehicles and systems and how blockchain can help in improving user experiences and improving industry practices. Finally, limitations of work, future research directions, and challenges associated with different autonomous vehicles and systems are presented.

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Section: ) Fuzzy Logic Controller In Autonomous Electric Vehiclementioning

confidence: 99%

Blockchain and Autonomous Vehicles: Recent Advances and Future Directions

et al. 2021

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“…En diversos artículos [2,5,10] se presentan controladores basados en sistemas de lógica difusa para controlar la potencia de salida de un inversor de ancho de pulso (PWM) utilizado en un esquema de conversión de energía de un motor eléctrico. El generador de inducción autoexcitado utilizado en esos motores tienen el problema inherente de fluctuaciones en la magnitud y frecuencia de su voltaje con los cambios en la velocidad.…”

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Diseño de un sistema de suministro de energía para vehículos eléctricos usando lógica difusa

Galán¹,

Pimente²,

Villegas-Cortéz³

et al. 2018

RCS

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Resumen. La tecnología de los sistemas electrónicos de potencia se ha diversificado en áreas industriales, comerciales y residenciales. Actualmente, los carros eléctricos usan diversos controladores que les permiten tener una eficiencia comparable con los carros convencionales. Los vehículos eléctricos (EV) son sistemas mecatrónicos complejos descritos por modelos no lineales y, por lo tanto, su diseño y análisis de control no es una tarea fácil. De igual forma, incrementar el rendimiento de un EV no depende de crear mejores sistemas de almacenamiento. Este artículo muestra el desarrollo de un sistema de gestión energética basado en lógica difusa para un vehículo eléctrico con la finalidad de minimizar su consumo total de energía y optimizar el banco de baterías. Los resultados experimentales usando el controlador difuso se comparan con los resultados en condiciones normales de operación. Se observa un incremento en el rendimiento de las baterías y del rendimiento en general del consumo de energía. Las señales de velocidad adquiridas muestran una mejora en algunos parámetros dinámicos, tales como el sobreimpulso, el tiempo de establecimiento y el error de estado estable. Se muestra que este controlador difuso aumenta la eficiencia energética general del vehículo.

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“…The majority of the control strategies proposed for EVs mostly focus on system optimization [15,16] and on holistic management techniques [17][18][19]. In the field of dynamic control designs, different schemes based on conventional linear or nonlinear techniques, such as sliding mode and intelligent control techniques, are proposed [20][21][22][23][24][25][26][27][28][29]. In most of them, however, the dynamics and the stability of the whole system are not investigated; only in [26] an attempt that combines fuzzy logic control with the property of input-to-state stability of the complete nonlinear system is presented.…”

Section: Introductionmentioning

confidence: 99%

Power Electronic Control Design for Stable EV Motor and Battery Operation during a Route

Makrygiorgou

Alexandridis

2019

Energies

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Electric vehicles (EVs), during a route, should normally operate at the desired speed by effectively controlling the power that flows between their batteries and the electric motor/generator. To implement this task, in this paper, the voltage source AC/DC converter is considered as a controlled power interface between the electric machine and the output of the DC storage device; the DC/DC converter is used to automatically regulate the battery operating condition in accordance to the profile of the acting on the vehicle wheels, unknown external torque. Particularly, the speed is continuously regulated by the vehicle driver via the pedal while all other regulations for absorbing or regenerating energy are internally controlled. The driver command is acting as speed reference input on a PI outer-loop motor speed controller which, in its turn, drives a fast P inner-loop current controller operating in cascaded mode. In a similar manner, the machine and the battery performance are self-regulated by a pure PI current controller that achieves maximum electric torque per ampere operation of the motor and by a PI/P cascaded scheme for the DC-voltage/battery–current regulation, respectively. In order to exclude any possibility of instabilities and adverse impacts between the different parts, a rigorous analysis is deployed on the complete electromechanical system that involves the motor, the batteries, the converter dynamic models and the proposed controllers. Modeling the system in Euler–Lagrange nonlinear form and applying sequentially suitable Lyapunov techniques and the time-scale separation principle, a systematic method for tuning the gains of the inner- and outer-loop controllers is derived. Therefore, the proposed controller design procedure guarantees asymptotic stability by considering the accurate system model as a whole. Finally, the proposed approach is validated by simulating realistic route conditions, performed under unknown external torque variations.

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Fuzzy Logic Control for energy saving in Autonomous Electric Vehicles

Cited by 20 publications

References 12 publications

Blockchain and Autonomous Vehicles: Recent Advances and Future Directions

Blockchain and Autonomous Vehicles: Recent Advances and Future Directions

Diseño de un sistema de suministro de energía para vehículos eléctricos usando lógica difusa

Power Electronic Control Design for Stable EV Motor and Battery Operation during a Route

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