The technological innovation of hybrid and plug-in electric vehicles for environment carbon pollution control

Zhao, Jianyu; Xi, Xi; Qi, Na; Wang, Shanshan; Kadry, Seifedine; Kumar, Priyan Malarvizhi

doi:10.1016/j.eiar.2020.106506

Cited by 126 publications

(74 citation statements)

References 27 publications

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“…The progressive replacement of ICE vehicles by hybrid electric vehicles (HEV), plug-in electric vehicles (PHEV) and full electric vehicles (EV) has contributed to reducing urban carbon emissions. Some studies have been devoted to the analysis of the reduction in greenhouse gas emissions by using modelling processes where ICE vehicles have been replaced by EV, HEV or FC vehicles in urban environments [7]; others use artificial intelligence (AI) applied to plug-in electric vehicles (PHEV) in order to optimize vehicle configuration and its influence on the air pollution [8]. The benefits of a transition to vehicle electrification onto the citizens' health is another point of interest to consider in a decision on the change of transport model in urban areas [9].…”

Section: Introductionmentioning

confidence: 99%

Real Driving Range in Electric Vehicles: Influence on Fuel Consumption and Carbon Emissions

Armenta-Déu

Cattin

2021

WEVJ

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This paper is focused on the determination of real driving ranges for electric vehicles (EV’s) and how it influences fuel consumption and carbon emissions. A precise method to evaluate the driving range of an EV can establish the correct reduction in GEI amount, mainly CO and CO2, ejected to the environment. The comparison of the daily driving range between an internal combustion engine (ICE) vehicle and an EV provides a useful tool for determining actual fuel saved during a daily trip and a method to compute carbon emissions saved depending on the type of ICE vehicle. Real driving range has been estimated on the basis of a daily trip consisting of five different segments, acceleration, deceleration, constant speed, ascent and descent, which reproduce the different types of driving. The modelling has been developed for urban routes since they are the most common and the most polluted environment where the use of electric vehicles is applied. The effects of types of driving have been taken into account for the calculation of the driving range by considering three main types of driving: aggressive, normal and moderate. The types of vehicle in terms of shape and size as well as dynamic conditions and the types of roads have also been considered for the determination of the driving range. Specific software has been developed to predict electric vehicle range under real driving conditions as a function of the characteristic parameters of a daily trip.

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Section: Introductionmentioning

confidence: 99%

Real Driving Range in Electric Vehicles: Influence on Fuel Consumption and Carbon Emissions

Armenta-Déu

Cattin

2021

WEVJ

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“…The recommended health system can be used as a basis for this idea. The use of fuzzy sets in health care industries, the various aspects of health is one of the most fundamental philosophical foundations supported as fuzzy logic till now [23][24].…”

Section: Introductionmentioning

confidence: 99%

Smart Healthcare Management Evaluation using Fuzzy Decision Making Method

Quasim

Shaikh

Shuaib

et al. 2021

Preprint

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Smart healthcare has become a health policy services that utilize technologies including wearables, the Internet of things, smartphones, etc., to access information continuously and to link patients, equipment and medical facilities, and then effectively handles and responds in an intelligent way to the needs of medical ecosystems. The smart healthcare management system digitally helps the patient to have used medical assistance and services like emergency response, diagnostic service, and surveillance services at any time and in any location. The evaluation of such a management system must be studied for innovative ideas similar to direct healthcare services. Therefore, this study proposes a Smart Healthcare Management Evaluation using Fuzzy Decision Making (SHME-FDM) method to assess the technological integration efficiency. This study thus evaluates the privacy protection of healthcare data of the smart healthcare management system using the Fuzzy Analytical Hierarchy Process- Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy AHP-TOPSIS). Here, this study uses the fuzzy-based neural network for healthcare predictions. The experimental analysis evaluates the accuracy, reliability and error rate of the fuzzy results. The security risk analysis findings show that the proposed fuzzy model can give the highest risk evaluation performance compared to existing models.

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“…Scientists have been dedicated to exploring innovation and new technology in automobiles and substituting new energy vehicles (NEVs) for traditional energy vehicles to improve air quality [ 9 ]. Past studies have shown some evidence that the innovation of hybrid and plug-in NEVs can effectively alleviate CO 2 emissions [ 9 , 10 , 11 ], and renewable energy technological innovation can reduce air nitrogen dioxide concentrations [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

“…The previous studies only focus on some specific kinds of NEVs or treat all kinds of patents evenly in measuring new energy technology innovation [ 9 , 10 , 16 ]. Up until now, to our best knowledge there have been no studies using all NEVs as a whole industry together with the output of NEVs and VVT to explore the relationship between technology innovation and air quality.…”

Section: Introductionmentioning

confidence: 99%

Impact of Technology Innovation on Air Quality—An Empirical Study on New Energy Vehicles in China

Zhang

Rao

et al. 2021

IJERPH

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China’s high economic growth has been accompanied by deteriorating air quality in recent decades. This paper aims to explore the relation between technology innovation (defined as the invention patent counts of each region) of new energy vehicles (NEVs) in China and air quality. A panel fixed effect model is used to analyze this relation and the mediating effect methods are used to examine the role of the output of NEVs (defined as the annual production quantity of NEVs in each region (unit: thousand)). The results of our study show: (1) the impact of the technology innovation of NEVs on air quality is positive and statistically significant; (2) the mediating role of the output of NEVs is confirmed in the relation between NEVs innovation and air quality improvement; (3) the technology innovation of NEVs has a more notable impact on the air quality in the regions with higher vehicle and vessel tax (VVT). The present study implicates for the first time that the technology innovation of NEVs can enhance air quality with the mediating role of the output of NEVs and the moderating role of VVT.

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The technological innovation of hybrid and plug-in electric vehicles for environment carbon pollution control

Cited by 126 publications

References 27 publications

Real Driving Range in Electric Vehicles: Influence on Fuel Consumption and Carbon Emissions

Real Driving Range in Electric Vehicles: Influence on Fuel Consumption and Carbon Emissions

Smart Healthcare Management Evaluation using Fuzzy Decision Making Method

Impact of Technology Innovation on Air Quality—An Empirical Study on New Energy Vehicles in China

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