Intelligent Sensorless Antilock Braking System for Brushless In-Wheel Electric Vehicles

Dadashnialehi, Amir; Bab–Hadiashar, Alireza; Cao, Zhenwei; Kapoor, Ajay

doi:10.1109/tie.2014.2341601

Cited by 54 publications

(24 citation statements)

References 24 publications

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“…The back electromotive force (EMF) signal of brushless in-wheel hubs can be exploited to simplify their antilock braking system (ABS) arrangement. The experimental results show that the sensorless wheel speed measurement accuracy of a BLDC motor with eight pole pairs is approximately 50% better than the ones produced by the commercial ABS sensor [183].…”

Section: Brushless DC Motorsmentioning

confidence: 94%

A comprehensive review on hybrid electric vehicles: architectures and components

2019

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The rapid consumption of fossil fuel and increased environmental damage caused by it have given a strong impetus to the growth and development of fuelefficient vehicles. Hybrid electric vehicles (HEVs) have evolved from their inchoate state and are proving to be a promising solution to the serious existential problem posed to the planet earth. Not only do HEVs provide better fuel economy and lower emissions satisfying environmental legislations, but also they dampen the effect of rising fuel prices on consumers. HEVs combine the drive powers of an internal combustion engine and an electrical machine. The main components of HEVs are energy storage system, motor, bidirectional converter and maximum power point trackers (MPPT, in case of solar-powered HEVs). The performance of HEVs greatly depends on these components and its architecture. This paper presents an extensive review on essential components used in HEVs such as their architectures with advantages and disadvantages, choice of bidirectional converter to obtain high efficiency, combining ultracapacitor with battery to extend the battery life, traction motors' role and their suitability for a particular application. Inclusion of photovoltaic cell in HEVs is a fairly new concept and has been discussed in detail. Various MPPT techniques used for solar-driven HEVs are also discussed in this paper with their suitability. Keywords Hybrid electric vehicle Á Hybrid energy storage system Á Architecture Á Traction motors Á Bidirectional converter Abbreviations and symbols ABS Antilock braking system AC Alternating current ADTR Antidirectional-twin-rotary ADVISOR Advanced vehicle simulator ANN Artificial neural network ASCI Auto-sequential commutated mode singlephase inverter BEV Battery electric vehicle BLDC Brushless DC motor CD Charge depletion CDFIM Cascaded DFIM CF-qZSI Current-fed quasi-ZSI CMPPT Centralized MPPT CS Charge sustaining CSI Current source inverter CS-PMSM Compound-structure PMSM CVT Continuous variable transmission DC Direct current DFIM Doubly fed induction motor DMPPT Distributed MPPT DRM Double-rotor machines DTC Direct torque control e-CVT Electronic continuous variable transmission EM Electric motor EMS Energy management system EREV Extended range electric vehicle ESS Energy storage system EV Electric vehicle FC Fuel cell

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Section: Brushless DC Motorsmentioning

confidence: 94%

A comprehensive review on hybrid electric vehicles: architectures and components

2019

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“…[1][2][3][4][5] Advanced vehicle stability control systems and technologies, such as electronic stability control (ESC), anti-locking brake system (ABS), active front-wheels steering (AFS), and direct yaw-moment control (DYC), both can effectively improve handling and stability of DDEV. [6][7][8][9][10] It is commonly recognized that performance of the control systems heavily depends on 1 knowledge of vehicle states information, which characterizes longitudinal and lateral stability of vehicles, such as yaw rate, sideslip angle, and longitudinal velocity. [11][12][13][14][15] For DDEV, it is measurement of sideslip angle and longitudinal velocity that needed expensive and dedicated sensors directly.…”

Section: Introductionmentioning

confidence: 99%

A strong robust observer of distributed drive electric vehicle states based on strong tracking-iterative central difference Kalman filter algorithm

Geng

Wei

Duan

et al. 2018

Advances in Mechanical Engineering

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This article proposed a strong robust observer of distributed drive electric vehicle states, including yaw rate, sideslip angle, and longitudinal velocity. Based on strong tracking filter algorithm framework, the proposed observer realized a strong tracking-iterative central difference Kalman filter by introducing a time-varying fade factor into iterative central difference Kalman filter. The introducing of time-varying fade factor assigns approximate orthogonality to residual error, which improves robustness of the observer at mutation conditions. Calculation efficiency and accuracy are improved by applying central difference transformation to approach posterior mean and posterior co-variance. By correcting variance and covariance with combination of states updating and Gauss-Newton iteration, the observer also achieves high estimation accuracy and convergence rate. Finally, the observer was simulated in vehicle dynamics simulator veDYNA at slalom test and double lane change test with high and low road friction coefficients, respectively. Simulation results have verified that the observer has higher estimation accuracy as well as robustness comparing to extended Kalman filter.

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“…Shiadeh, Ardebili and Moamaei [3] presented two different Axial-Flux Permanent-Magnet (AFPM) BLDC machine topologies with similar pole and slot combination. Dadashnialehi [4] proposed a sensorless Antilock Braking System (ABS) for brushless-motor in-wheel electric vehicles. Norhisam et al [5] devised a high torque BLDC, which is designed in new arrangement of the stator teeth and operated as three-phase motor.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective pigeon-inspired optimization for brushless direct current motor parameter design

Qiu

Duan

2015

Sci. China Technol. Sci.

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Pigeon-inspired optimization (PIO) is a new swarm intelligence optimization algorithm, which is inspired by the behavior of homing pigeons. A variant of pigeon-inspired optimization named multi-objective pigeon-inspired optimization (MPIO) is proposed in this paper. It is also adopted to solve the multi-objective optimization problems in designing the parameters of brushless direct current motors, which has two objective variables, five design variables, and five constraint variables. Furthermore, comparative experimental results with the modified non-dominated sorting genetic algorithm are given to show the feasibility, validity and superiority of our proposed MIPO algorithm. brushless direct current (BLDC) motor, multi-objective pigeon-inspired optimization (MPIO), electromagnetics, multi-objective optimization Citation:Qiu H X, Duan H B. Multi-objective pigeon-inspired optimization for brushless direct current motor parameter design.

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Intelligent Sensorless Antilock Braking System for Brushless In-Wheel Electric Vehicles

Cited by 54 publications

References 24 publications

A comprehensive review on hybrid electric vehicles: architectures and components

A comprehensive review on hybrid electric vehicles: architectures and components

A strong robust observer of distributed drive electric vehicle states based on strong tracking-iterative central difference Kalman filter algorithm

Multi-objective pigeon-inspired optimization for brushless direct current motor parameter design

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