Life cycle CO₂ footprint reduction comparison of hybrid and electric buses for bus transit networks

García, Antonio; Monsalve‐Serrano, Javier; Sari, Rafael Lago; Tripathi, Shashwat

doi:10.1016/j.apenergy.2021.118354

Cited by 38 publications

(9 citation statements)

References 50 publications

(66 reference statements)

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“…When also including economical aspects in the decarbonization of the transport sector, the total useful-life cost of a hybrid bus has been estimated to about 2.5% higher than that of a pure diesel bus while reducing GHG emissions by ~40%, whereas for a battery electric bus the cost was calculated to be more than 30% higher for ~60% GHG emissions reduction. Bearing in mind that for the future there are large uncertainties about the cost developments related to fuels, electricity, and battery cells, the study still emphasizes that hybrids, at least for the near future, may offer a better alternative in respect of cost-efficient CO2 emissions reduction [101].…”

Section: Transportationmentioning

confidence: 99%

Materials Design for the Improvement of SiC Field Effect Gas Sensor performance in High Temperature Process Control applications

Khajavizadeh

2023

Linköping Studies in Science and Technology. Dissertations

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Section: Transportationmentioning

confidence: 99%

Materials Design for the Improvement of SiC Field Effect Gas Sensor performance in High Temperature Process Control applications

Khajavizadeh

2023

Linköping Studies in Science and Technology. Dissertations

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“…Therefore, the switch towards a substantially carbon-free and energy-efficient transport mode is an ongoing global goal. The electrification of the transportation via the development of electrical vehicles (EVs) is considered to be a promising pathway for many countries to reduce the air pollution from on-road vehicles as well as to reduce fossil fuels dependence in order to strengthen national energy security [9][10][11][12][13]. For example, EVs are an important technology in reducing greenhouse gases emission in the European Union to achieve the targets of decarbonizing the energy sector [14].…”

Section: Introductionmentioning

confidence: 99%

Forecast of Electric Vehicle Sales in the World and China Based on PCA-GRNN

Chen

2022

Sustainability

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Since electric vehicles (EVs) could reduce the growing concerns on environmental pollution issues and relieve the social dependency of fossil fuels, the EVs market is fast increased in recent years. However, a large growth in the number of EVs will bring a great challenge to the present traffic system; thus, an acceptable model is necessary to forecast the sales of EVs in order to better plan the appropriate supply of necessary facilities (e.g., charging stations and sockets in car parks) as well as the electricity required on the road. In this study, we propose a model to predict the sales volume and increase rate of EVs in the world and China, using both statistics and machine learning methods by combining principle component analysis and a general regression neural network, based on the previous 11 years of sales data of EVs. The results indicate that a continuing growth in the sales of EVs will appear in both the world and China in the coming eight years, but the sales increase rate is slowly and continuously deceasing because of the persistent growth of the basic sales volume. The results also indicate that the increase rate of sales of EVs in China is higher than that of the world, and the proportion of sales of EVs in China will increase gradually and will be above 50% in 2025. In this case, large accessory facilities for EVs are required in China in the coming few years.

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“…Due to the growing demand, condition assessment and diagnostics is currently a priority research area [10][11][12]. The expansion of electric vehicles will also bring with it the electrification of public transport [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Cell Fault Identification and Localization Procedure for Lithium-Ion Battery System of Electric Vehicles Based on Real Measurement Data

Szürke¹,

Sütheö²,

Apagyi³

et al. 2022

Algorithms

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Vehicle safety risk can be decreased by diagnosing the lithium-ion battery system of electric road vehicles. Real-time cell diagnostics can avoid unexpected occurrences. However, lithium-ion batteries in electric vehicles can significantly differ in design, capacity, and chemical composition. In addition, the battery monitoring systems of the various vehicles are also diverse, so communication across the board is not available or can only be achieved with significant difficulty. Hence, unique type-dependent data queries and filtering are necessary in most cases. In this paper, a Volkswagen e-Golf electric vehicle is investigated; communication with the vehicle was implemented via an onboard diagnostic port (so-called OBD), and the data stream was recorded. The goal of the research is principally to filter out, identify, and localize defective/weak battery cells. Numerous test cycles (constant and dynamic measurements) were carried out to identify cell abnormalities (so-called deviations). A query and data filtering process was designed to detect defective battery cells. The fault detection procedure is based on several cell voltage interruptions at various loading levels. The methodology demonstrated in this article uses a fault diagnosis technique based on voltage abnormalities. In addition, it employs a hybrid algorithm that executes calculations on measurement and recorded data. In the evaluation, a status line comprising three different categories was obtained by parametrizing and prioritizing (weighting) the individual measured values. It allows the cells to be divided into the categories green (adequate region), yellow (to be monitored), and red (possible error). In addition, several querying strategies were developed accordingly to clarify and validate the measurement results. The several strategies were examined individually and analyzed for their strengths and weaknesses. Based on the results, a data collection, processing, and evaluation strategy for an electric vehicle battery system have been developed. The advantage of the developed algorithm is that the method can be adapted to any electric or hybrid vehicle battery.

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Life cycle CO₂ footprint reduction comparison of hybrid and electric buses for bus transit networks

Cited by 38 publications

References 50 publications

Materials Design for the Improvement of SiC Field Effect Gas Sensor performance in High Temperature Process Control applications

Materials Design for the Improvement of SiC Field Effect Gas Sensor performance in High Temperature Process Control applications

Forecast of Electric Vehicle Sales in the World and China Based on PCA-GRNN

Cell Fault Identification and Localization Procedure for Lithium-Ion Battery System of Electric Vehicles Based on Real Measurement Data

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