Performance Assessment of an Electric Microcar for Various Urban Driving Conditions

Topaç, Mehmet Murat; Bilal, Levent; Karaca, Merve; Cakir, Mert

doi:10.1109/ev.2019.8893064

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…More recent publications also try to make calculations by comparing different types of technology for various conditions (in [9] they deal with two different types of batteries for three urban cycles) but in this work it is delves more deeply into the architecture of the vehicle. This paper aims to present a methodology for calculating the energy consumption and driving range for microvehicles, for which a mathematical tool has been designed thanks to a computer program.…”

Section: Introductionmentioning

confidence: 99%

Micromobility and smart cities: efficiency, energy consumption and range analysis for electric vehicles

Alcázar-García

Martínez

2022

Renew. Energy Environ. Sustain.

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Climate change and smart cities are topics where a large number of resources are being invested to avoid it and advance its development respectively. This paper presents a calculation procedure of the car efficiency, energy consumption and range whose efficiency has already been tested for hybrid vehicles (including plug-in) and fuel cell vehicles, as well as pure electric vehicles of category M1. This method has been adapted for quadricycles of category L6e and L7e in order to be able to use it to accelerate the design of this type of vehicles and contribute to its introduction in Smart Cities. The reliability of the system has been verified with commercially available vehicles and prototypes taking into account their technical specifications: electric motor (e.g., permanent magnet motor), technology of energy storage system (e.g., lithium-ion battery), weight and geometry of the car for all types of drive cycles. According to the literature review, there is currently no standardized operating system or hardware abstraction layer for such methodology/application in the automotive sector. This flexible method can be easily extended for different technologies of batteries and electric motors, different standard or customized drive cycles, etc. Besides, it has high reliability for vehicles of category L since in no case does the error reach 5 % and the average value is 2.5 % when real data from vehicle manufacturers and outcomes are compared. Thus, results show the consistency of the system.

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Section: Introductionmentioning

confidence: 99%

Micromobility and smart cities: efficiency, energy consumption and range analysis for electric vehicles

Alcázar-García

Martínez

2022

Renew. Energy Environ. Sustain.

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“…Recently, many car manufacturers have produced small-sized vehicles (one- or two-seaters), commonly known as microcars ( 2 , 6–8 ), which can serve different classes of car users. The history of microcars dates back to 1920s when “cyclecars,” which were the first examples of microcars, were designed to be a cheaper version of conventional four-wheel cars ( 2 ).…”

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confidence: 99%

Operational Impact of Microcars on Urban and Suburban Road Corridors

Masry

Esawey

El-Araby

et al. 2022

Transportation Research Record

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Efficient utilization of a private car is achieved when it is used to transport many travelers. A single-occupancy vehicle (SOV) is a private vehicle whose only occupant is the driver. The existence of SOVs in the traffic stream leads to unjustified congestion and shortage of available parking spaces, especially in megacities. Microcars can be beneficial for cities where it is infeasible to construct new roads or upgrade the existing ones because of limited space. Microcars offer many advantages compared with motorcycles and bicycles as they provide shelter from adverse weather conditions, allow for personal storage space, and are more culturally accepted in eastern societies like Egypt. This research investigates the operational impacts of using microcars on roads by using microsimulation. VISSIM was used to model two case studies: a hypothetical urban corridor and a suburban expressway in Greater Cairo. Mixed and exclusive lane scenarios were analyzed using different modal shares for microcars. The results showed that replacing a portion of private cars by microcars increased the throughput volume and reduced the overall travel time. Exclusive lanes for microcars showed better results than mixed lanes on an urban corridor. On the suburban expressway, however, average travel time was shown to be lower for mixed lane usage compared with exclusive lanes. The results of this research support the idea of promoting microcars as a potential mitigation measure to relieve congestion, especially in urban areas.

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Real-Time Battery Thermal Management for Electric Vehicles Based on Deep Reinforcement Learning

Huang

Zhao

Zhang

2022

IEEE Internet Things J.

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Performance Assessment of an Electric Microcar for Various Urban Driving Conditions

Cited by 3 publications

References 6 publications

Micromobility and smart cities: efficiency, energy consumption and range analysis for electric vehicles

Micromobility and smart cities: efficiency, energy consumption and range analysis for electric vehicles

Operational Impact of Microcars on Urban and Suburban Road Corridors

Real-Time Battery Thermal Management for Electric Vehicles Based on Deep Reinforcement Learning

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