Analysis of factors affecting the energy consumption of an EV vehicle - a literature study

Skuza, Adriana; Jurecki, Rafał

doi:10.1088/1757-899x/1247/1/012001

Cited by 19 publications

(7 citation statements)

References 33 publications

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“…Consisting of p pairs of poles and the rotor rotating in synchronism with the rotating stator field at the angular speed ω, then the speed of the motor Ω can be written as follows: (11) Depending on the electrical model, we could write:…”

Section: The Brushless Enginementioning

confidence: 99%

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Energy Performances Analysis of a Solar Electric Car in Togo

Semekonawo

Kam²

2022

PSIJ

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In sub-Saharan Africa the cost of transport is very expensive for the populations. As the car fleet is mainly made up of thermal cars, the high cost of transport is largely linked to the oil’s import. Faced with such a situation, it is important to find other means of transport in order to reduce the transport’s cost for the populations. One of the means of transport which seems to be an alternative solution is the solar electric car. But the difficulty for the solar electric car is its range. To improve car's range, it is necessary to analyze the performance of the car in driving conditions in order to understand the parameters that influence the range. Understanding and mastering these parameters will make it possible to make the best decisions to improve the car's range. In this article, we are interested in analyzing the energy performances of a solar electric car in Togo in order to understand the parameters that influence the car’s range. The simulation results show a considerable reduction in the car's range for high driving speeds, for excessive consumption of the auxiliary electrical circuits of the car, for driving the vehicle on a large slope, and when the car is transporting a large weight. The solar panel on the roof of the car is of great importance because it makes a significant contribution to the car’s range in sunny periods.

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Section: The Brushless Enginementioning

confidence: 99%

“…The driving environment such as freezing temperatures and strong winds drastically reduce vehicle's range. In [11] Skuza and Jurecki show that negative temperatures can reduce EV's range by up to 37%, while at a temperature of 40°C, it is possible to extend the range by about 2%.…”

Section: Introductionmentioning

confidence: 99%

Energy Performances Analysis of a Solar Electric Car in Togo

Semekonawo

Kam²

2022

PSIJ

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“…By meticulously scrutinizing these drive cycles, we gain vital insights into the precise moments when an electric vehicle transitions between different driving phases-uniform velocity, acceleration, and deceleration. It is in these transitions that power consumption fluctuates, significantly influencing the driving range and overall efficiency of EVs [4] [5].One of the central themes of this research is the estimation of critical parameters essential for enhancing EV performance [6]. We delve into the intricacies of battery capacity, energy consumption rates, and powertrain efficiency.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Electric Vehicle Performance, Range and Parameter Estimation through NEDC Urban and Suburban Analysis using MATLAB

Ghorai,

Nayak

2024

ETJ

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This research paper focuses on electric vehicle (EV) driving range and parameter estimation, with an emphasis on analyzing the New European Driving Cycle (NEDC) urban and suburban drive cycles. By examining these drive cycles, we obtain critical data on the moments when an electric vehicle transitions between constant velocity, acceleration, and deceleration phases, which significantly affect power consumption and driving range. We investigate various techniques for parameter estimation, including battery capacity, energy consumption rates, and powertrain efficiency, essential for improving EV performance and providing realistic range expectations. Empirical experiments in diverse driving conditions contribute valuable data to refine our understanding of EV driving range and performance in different scenarios. The research underscores the role of predictive modeling, data analytics, and advanced technologies in real-time parameter estimation, offering precise and convenient range predictions to enhance user confidence.

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“…In [ 25 ], the researchers emphasized the use of energy consumption as a criterion to compare EVs. A heat map and causal association analysis revealed that there was no correlation between energy consumption and charging speed, but there was a significant correlation with range and maximum velocity.…”

Section: Introductionmentioning

confidence: 99%

A Multicriteria-Based Comparison of Electric Vehicles Using q-Rung Orthopair Fuzzy Numbers

Biswas

Sanyal

Božanić

et al. 2023

Entropy

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The subject of this research is the evaluation of electric cars and the choice of car that best meets the set research criteria. To this end, the criteria weights were determined using the entropy method with two-step normalization and a full consistency check. In addition, the entropy method was extended further with q-rung orthopair fuzzy (qROF) information and Einstein aggregation for carrying out decision making under uncertainty with imprecise information. Sustainable transportation was selected as the area of application. The current work compared a set of 20 leading EVs in India using the proposed decision-making model. The comparison was designed to cover two aspects: technical attributes and user opinions. For the ranking of the EVs, a recently developed multicriteria decision-making (MCDM) model, the alternative ranking order method with two-step normalization (AROMAN), was used. The present work is a novel hybridization of the entropy method, full consistency method (FUCOM), and AROMAN in an uncertain environment. The results show that the electricity consumption criterion (w = 0.0944) received the greatest weight, while the best ranked alternative was A7. The results also show robustness and stability, as revealed through a comparison with the other MCDM models and a sensitivity analysis. The present work is different from the past studies, as it provides a robust hybrid decision-making model that uses both objective and subjective information.

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Analysis of factors affecting the energy consumption of an EV vehicle - a literature study

Cited by 19 publications

References 33 publications

Energy Performances Analysis of a Solar Electric Car in Togo

Energy Performances Analysis of a Solar Electric Car in Togo

Optimizing Electric Vehicle Performance, Range and Parameter Estimation through NEDC Urban and Suburban Analysis using MATLAB

A Multicriteria-Based Comparison of Electric Vehicles Using q-Rung Orthopair Fuzzy Numbers

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