Optimal $\mu $ -Estimation-Based Regenerative Braking Strategy for an AWD HEV

Paul, Deepak; Velenis, Efstathios; Cao, Dongpu; Dobo, Tamas

doi:10.1109/tte.2016.2603010

Cited by 54 publications

(35 citation statements)

References 23 publications

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“…The controllers were designed with the slip threshold of 20%. In (Paul et al, 2016), the ABS performance was not presented, hence, the vehicle safety is not demonstrated. In this paper, the recuperation braking control method is accompanied with ABS.…”

Section: Discussionmentioning

confidence: 99%

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Design of Regenerative Anti-Lock Braking System Controller for 4 In-Wheel-Motor Drive Electric Vehicle with Road Surface Estimation

Aksjonov

Vodovozov

Augsburg

et al. 2018

Int.J Automot. Technol.

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This paper presents a regenerative anti−lock braking system control method with road detection capability. The aim of the proposed methodology is to improve electric vehicle safety and energy economy during braking maneuvers. Vehicle body longitudinal deceleration is used to estimate a road surface. Based on the estimation results, the controller generates an appropriate braking torque to keep an optimal for various road surfaces wheel slip and to regenerate for a given motor the maximum possible amount of energy during vehicle deceleration. A fuzzy logic controller is applied to fulfill the task. The control method is tested on a four in−wheel−motor drive sport utility electric vehicle model. The model is constructed and parametrized according to the specifications provided by the vehicle manufacturer. The simulation results conducted on different road surfaces, including dry, wet and icy, are introduced.

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Section: Discussionmentioning

confidence: 99%

“…In (Paul et al, 2016), the researchers went further and offered, first, to estimate the road surface with fuzzy logic, and therefore to provide a braking torque distribution. The controller was tested on a single motor EV model.…”

Section: Related Workmentioning

confidence: 99%

Design of Regenerative Anti-Lock Braking System Controller for 4 In-Wheel-Motor Drive Electric Vehicle with Road Surface Estimation

Aksjonov

Vodovozov

Augsburg

et al. 2018

Int.J Automot. Technol.

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“…However, neither SOC in torque allocation nor ABS performance were under investigation. Brake force distribution strategy for EVs based on estimation of tire-road friction coefficient was provided in [10]. The road condition estimation was also based on fuzzy theory.…”

Section: Introductionmentioning

confidence: 99%

Blended Antilock Braking System Control Method for All-Wheel Drive Electric Sport Utility Vehicle

Aksjonov

Vodovozov

Augsburg

et al. 2020

Lecture Notes in Electrical Engineering

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At least two different actuators work in cooperation in regenerative braking for electric and hybrid vehicles. Torque blending is an important area, which is responsible for better manoeuvrability, reduced braking distance, improved riding comfort, etc. In this paper, a control method for electric vehicle blended antilock braking system based on fuzzy logic is promoted. The principle prioritizes usage of electric motor actuators to maximize recuperation energy during deceleration process. Moreover, for supreme efficiency it considers battery's state of charge for switching between electric motor and conventional electrohydraulic brakes. To demonstrate the functionality of the controller under changing dynamic conditions a hardware-in-the-loop simulation with real electrohydraulic brakes test bed is utilized. In particular, the experiment is designed to exceed the state of charge threshold during braking operation, what leads to immediate switch between regenerative and friction brake modes. ELECTRIMACS2019, 027, v2 (final): 'Blended antilock braking system control method. . .

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“…[7] a multi-objective optimization problem is solved based on three primary conflicting objectives, namely minimization of deceleration duration, maximization of regenerative braking energy and minimization of jerk. A Braking force distribution strategy for an all-wheel-drive electrified vehicle with a single electric motor, based on the estimation of the tire-road friction coefficient (μ) using a fuzzy logic estimation approach is discussed in [8]. While [9] has analyzed the potential for regeneration in Swedish car driving by applying a model for a normalized vehicle to a highly detailed and representative data set of individual car movements for privately driven cars in Sweden.…”

Section: Introductionmentioning

confidence: 99%

Composite braking module for an electric vehicle

Bharath¹,

M.K²,

Sivaraman³

et al. 2018

IJET

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The efficycle, is a hybrid tricycle which runs on manual and electric power. This paper proposes a method to design a braking load to dissipate the excess energy produced when there is no more requirement for the battery to be charged by regenerative braking. This module was designed for an operating voltage of 8V, resistance value of 0.16 ohm and with a maximum current capacity of 200 A. This resistor was coupled with a buck converter to step down the voltage across the battery to a value convenient for operation of the dissipation resistor.Keywords: Use about five key words or phrases in alphabetical order, Separated by Semicolon.

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Optimal $\mu $ -Estimation-Based Regenerative Braking Strategy for an AWD HEV

Cited by 54 publications

References 23 publications

Design of Regenerative Anti-Lock Braking System Controller for 4 In-Wheel-Motor Drive Electric Vehicle with Road Surface Estimation

Design of Regenerative Anti-Lock Braking System Controller for 4 In-Wheel-Motor Drive Electric Vehicle with Road Surface Estimation

Blended Antilock Braking System Control Method for All-Wheel Drive Electric Sport Utility Vehicle

Composite braking module for an electric vehicle

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