Power-mix optimization for a hybrid ultracapacitor/battery pack in an electric vehicle using real-time GPS data

Moshirvaziri, Mazhar; Malherbe, Christo; Moshirvaziri, Andishe; Trescases, Olivier

doi:10.1109/iecon.2013.6699888

Cited by 8 publications

(2 citation statements)

References 9 publications

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“…GPS anomaly data process includes abnormal data identification, abnormal data repair, and data filtering [31][32][33][34]. The data source used in this article is only taxi GPS data.…”

Section: Noise Removalmentioning

confidence: 99%

An alternative reliability method to evaluate the regional traffic congestion from GPS data obtained from floating cars

et al. 2021

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Fast and reliable evaluation of regional traffic congestion is beneficial to more effective traffic control. Based on data accumulation in modern society, more and more datadriven methods are proposed. However, it is still not easy to process the raw data to an interpretable level in practical applications. In this article, the GPS data are obtained from floating cars covering a large scale region in Xi'an, China. To link the original data to the spatiotemporal relationship of driving behaviour, a pre-processing method with specified time-frequency rules is proposed. Through map matching and landmark mapping, it can be seen that the data dispersion degree has decreased and the quality of the original data has been improved. At the same time, deep learning methods and non-parametric survival analysis methods are used to compare and evaluate traffic congestion. In addition, four different distributions (Exponential, Weibull, Log-normal, and Log-logistic) are tested to fit the accelerated failure time model (AFT), which is then compared with the Cox proportional hazards model (Cox). It is concluded that the most suitable parameter model for the test section of Xi'an South Second Ring Road is AFT (Lognormal). All those methods are tested on a randomly selected segment on the ring road in Xi'an. The results suggest dramatic improvement of data quality and successful evaluation of traffic conditions with high reliability. Potential application could be effective methods for traffic control and management in the smart city. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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“…GPS anomaly data process includes abnormal data identification, abnormal data repair, and data filtering [31][32][33][34]. The data source used in this article is only taxi GPS data.…”

Section: Noise Removalmentioning

confidence: 99%

An alternative reliability method to evaluate the regional traffic congestion from GPS data obtained from floating cars

et al. 2021

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“…The u-cap pack can store enough energy to accelerate the EV from 0 to 60 km/h. A complete electromechanical model of the EV sub-systems based on [19] was developed and the parameters were tuned based on numerous measured drive-cycles.…”

Section: System Overviewmentioning

confidence: 99%

Ultracapacitor/battery hybrid energy storage system with real-time power-mix control validated experimentally in a custom electric vehicle

Shao

Moshirvaziri

Malherbe

et al. 2015

2015 IEEE Applied Power Electronics Conference and Exposition (APEC)

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This paper experimentally demonstrates the benefits of integrating ultracapacitors (u-cap) into a custom electric vehicle. The new hybrid energy storage system (HESS) includes a 25 kW four-phase dc-dc converter connected in between the 33.8 kWh lithium phosphate battery pack and the u-caps. By combining the high energy-density of the battery and the high power-density and cycle-life of u-caps, the HESS delivers high power while minimizing peak battery current during acceleration and regenerative braking. Real-time power-mix control within the HESS using the dc-dc converter is the main challenge addressed in this project. In one experimental test-drive, the HESS not only improves the maximum power of the EV from 38 kW (50 hp) to 52 kW (70 hp), but also captures the majority of the regenerative braking energy, greatly reducing the stress on the battery pack.978-1-4799-6735-3/15/$31.00 ©2015 IEEE

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A GPS-Gradient Mapped Database-Based Fuzzy Energy Management System for a Series—Parallel Hybrid Electric Vehicle

Thomas

Allen

Biju

et al. 2020

Advances in Electrical Control and Signal Systems

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Power-mix optimization for a hybrid ultracapacitor/battery pack in an electric vehicle using real-time GPS data

Cited by 8 publications

References 9 publications

An alternative reliability method to evaluate the regional traffic congestion from GPS data obtained from floating cars

An alternative reliability method to evaluate the regional traffic congestion from GPS data obtained from floating cars

Ultracapacitor/battery hybrid energy storage system with real-time power-mix control validated experimentally in a custom electric vehicle

A GPS-Gradient Mapped Database-Based Fuzzy Energy Management System for a Series—Parallel Hybrid Electric Vehicle

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