Electric Vehicle Performance and Consumption Evaluation

Baghdadi, Mohamed El; Vroey, Laurent De; Coosemans, Thierry; Mierlo, Joeri Van; Foubert, Wim; Jahn, Rafaël

doi:10.3390/wevj6010030

Cited by 14 publications

(4 citation statements)

References 3 publications

(2 reference statements)

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“…M. El. Baghdadi et al [9] tested the EVs of two distinct model and made. They used a chassis dynamometer to assess EV performance under various torque-speed operating situation, and they confirmed their finding using data collected from actual road condition.…”

Section: Fig1 Schematic Diagram Of Ev [1]mentioning

confidence: 99%

Enhancing Electric Vehicle Performance: A Co-Relation Study of Key Performance Parameters

Madheshiya,

Maurya,

Rai

2024

IOP Conf. Ser.: Earth Environ. Sci.

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The urgent issues of greenhouse gases and global warming have drawn more attention globally. The adoption of Electric Vehicle (EV) technology has altered the transportation industry and progressively decreased the market share of fossil fuel-powered automobiles as a crucial step to solve these pressing concerns. EVs provide emissions-free mobility since they run on chemical energy stored in rechargeable battery packs. These Battery Electric Vehicles (BEVs) can recover kinetic energy lost while braking by utilizing regenerative braking technology, further boosting their environmental friendliness. Performance has significantly improved as a result of manufacturer’s ongoing advances to EV technology. The effectiveness of regenerative braking and battery capacity are two critical performance factors for EVs that have a substantial impact on their total performance. A thorough examination of key performance metrics and their connection becomes essential for achieving additional improvement. Industries use simulation tools for evaluation, but they frequently ignore the intricate relationship between many performance-influencing factors. In order to address this, we provide a Co-Relation research study on a number of commercially available electric vehicles, concentrating on the battery capacity, power, driving range, and pick-up as the key performance aspect. We determine the Co-Relation between these factors using Karl Pearson Co-Relation coefficient, which offers important insights regarding EV performance. The findings of this research will be a useful tool for EV makers, promoting a better knowledge of parametric connection and assisting them in optimizing the performance of their EV model. Additionally, the finding of post-sale analysis of performance indicators may provide crucial confirmation for the results of simulation. This study helps direct to the automobile sector toward a future that is more efficient and sustainable.

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Section: Fig1 Schematic Diagram Of Ev [1]mentioning

confidence: 99%

Enhancing Electric Vehicle Performance: A Co-Relation Study of Key Performance Parameters

Madheshiya,

Maurya,

Rai

2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…Previous research mainly focused on battery economic indexes and energy consumption indexes [6][7][8][9][10]; however, the actual operation of electric buses and the importance of various other indexes are not generally considered, which results in an incomplete evaluation with low availability and the selected buses are not capable of fully satisfying all inherent operational requirements. Therefore, to comprehensively evaluate the performance of pure electric buses in actual operation, a multi-level evaluation system is established herein by considering the reliability, economy, security, adaptability, and service aspects.…”

Section: Construction Of the Index Systemmentioning

confidence: 99%

“…The average failure maintenance time is used as the evaluation factor to measure the failure severity, as defined by Equation (7). The grade divisions are presented in Table 13.…”

Section: Failure Severity Calculationmentioning

confidence: 99%

“…A stepwise regression analysis method was then used to remove the indexes that had little impact on the results, and finally, a comprehensive evaluation index system was established. Baghdadi et al, [7] evaluated two electric vehicles from the latest generation of clean powertrain cars in terms of their driving performance. The vehicles were evaluated with respect to their battery to wheel, electrical to mechanical, and power conversion performances through chassis dynamometer tests.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation Method to Select Pure Electric Buses Based on Road Operation Tests

Liu

et al. 2019

WEVJ

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In China, the development of pure electric buses is an essential means to address energy and environmental concerns. Proper evaluation and selection of pure electric buses is a crucial step prior to introducing the buses into actual operation. This paper presents a multi-objective method for the selection of pure electric buses based on road driving tests. An index system for evaluating the operating performance through the fuzzy analytic hierarchy process is established, and to ensure the method is more systematic than those in previous studies, indicators are classified into three categories: qualitative, semi-qualitative and quantitative indicators, of which the nineteen indexes have been comprehensively considered and designed. To verify the advantage of the evaluation method proposed in the article, two typical buses were selected as the assessed objectives regarding reliability, economic, security, environmental adaptability, etc. The assessing process indicates that the method is easily implemented and of high practical value. Additionally, the results show satisfactory agreement with the actual scenario. Thus, it can be assumed that the method detailed herein provides a basis for the design, selection, and evaluation of pure electric buses.

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