Incentivizing the adoption of electric vehicles in city logistics: Pricing, driving range, and usage decisions under time window policies

2022 ◽  
pp. 108406
Author(s):  
Yongling Gao ◽  
Mingming Leng ◽  
Yaping Zhang ◽  
Liping Liang
Keyword(s):  
Electric Vehicles ◽  
Time Window ◽  
City Logistics ◽  
Driving Range

Propulsion Assisting Roads for Driving Range Extension of Electric Vehicles

2021 ◽  
Author(s):  
Vladimir Kuptsov ◽  
Poria Fajri ◽  
Md. Rasheduzzaman ◽  
Mohammad Shadmand
Keyword(s):  
Electric Vehicles ◽  
Range Extension ◽  
Driving Range

Transfer Function Prediction of a Lithium Iron Phosphate Battery with Nature-Inspired Approach

2015 ◽  
Vol 1115 ◽  
pp. 531-534
Author(s):  
Siti Fauziah Toha
Keyword(s):  
Transfer Function ◽  
Electric Vehicles ◽  
Cross Correlation ◽  
Lithium Iron Phosphate ◽  
Iron Phosphate ◽  
Battery Lifetime ◽  
Battery Model ◽  
Full Capacity ◽  
Driving Range ◽  
Optimisation Technique

It is well known that the main constraint of electric vehicles (EVs) is the capabilities to supply efficient energy for driving-range that is comparable to petrol fueled vehicles. Moreover, a large number of batteries needed for EV contribute to heavy weight, poor durability and pricy total cost. In view of that, the need to prolong the battery lifetime, and use its full capacity, is of utmost importance. Therefore, an accurate battery model is a challenging first step to the overall problem soving chain. This paper presents a transfer function model prediction with nature-inspired approach for a Lithium iron phosphate battery. An Ant Colony Optimisation technique is used in search for accurate model with robust capability to adapt with different input current based on the New European Driving Cycle (NEDC) range. The model is further validated with autocorrelation and cross-correlation test and it is proven to give an error tolerance between the 95% confidence limit.

Issues in Energy Storage for Electric-Based Transportation

MRS Bulletin ◽  
2002 ◽  
Vol 27 (8) ◽  
pp. 628-631 ◽  
Author(s):  
Gholam-Abbas Nazri
Keyword(s):  
Energy Storage ◽  
Electric Vehicles ◽  
Lithium Batteries ◽  
Storage Device ◽  
Energy Storage Device ◽  
Rechargeable Lithium Batteries ◽  
Propulsion Systems ◽  
On Demand ◽  
Vehicle Acceleration ◽  
Driving Range

AbstractThe key to market success for electric vehicles (EVs) has always been the energy-storage device, which limits driving range and vehicle acceleration. In many respects, rechargeable lithium batteries are the most attractive technology for storing energy and delivering it on demand in an automobile. Past and ongoing efforts to develop electric-based automotive propulsion systems are chronicled in this article.

Research on Automatic Replacing Technology of Power Battery Pack

2011 ◽  
Vol 308-310 ◽  
pp. 217-223 ◽  
Author(s):  
Zhen Po Wang ◽  
Hai Bin Han ◽  
Lu Zeng
Keyword(s):  
Electric Vehicles ◽  
Concrete Structure ◽  
Battery Pack ◽  
Charging Time ◽  
Power Battery ◽  
Replacement Process ◽  
Hydraulic Servo ◽  
Driving Range ◽  
Key Techniques ◽  
The Way

The short driving range and long charging time are two big problems for electric vehicles. A concept of battery pack automatic replacement is put forward in this paper to solve these problems, and a deep research on the key techniques is contained. This paper introduced the way of positioning and locking in replacement process, including the concrete structure of both replacing equipment and battery pack. For reliability problems of the connectors, two schemes are designed. Elastic jacks and coil are adopted to guarantee the reliability and automatically centering. On this basis, battery fast replacing system is designed, which controlled by PLC, driven by electro-hydraulic servo. This was proved to be a big success in practice.

Driving Range of Electric Vehicles Charged by Wireless Power Transfer

2020 ◽  
Vol 69 (6) ◽  
pp. 5968-5982 ◽  
Author(s):  
Philip Machura ◽  
Valerio De Santis ◽  
Quan Li
Keyword(s):  
Electric Vehicles ◽  
Wireless Power Transfer ◽  
Power Transfer ◽  
Wireless Power ◽  
Driving Range

scholarly journals Potential Early Adopters of Hybrid and Electric Vehicles in Spain—Towards a Customer Profile

2020 ◽  
Vol 12 (11) ◽  
pp. 4345
Author(s):  
Elena Higueras-Castillo ◽  
Sebastian Molinillo ◽  
J. Andres Coca-Stefaniak ◽  
Francisco Liébana-Cabanillas
Keyword(s):  
Electric Vehicles ◽  
Online Survey ◽  
New Technologies ◽  
Early Adopters ◽  
Theoretical Contribution ◽  
Pollution Levels ◽  
Distant Target ◽  
Strategic Goals ◽  
Driving Range ◽  
Strategic Goal

The adoption of electric vehicles (EVs) by consumers is regarded as a key strategic goal for the reduction in transport-related air pollution levels. Although sales of EVs continue to rise year on year, generally, the attainment of the strategic goals set by various governments for the adoption of EVs remains a distant target. The purpose of this study is to identify the customer profile of early adopters of EVs in Spain: one of Europe’s largest economies, yet the country with the lowest uptake of EVs at present. The analysis presented here is based on an online survey of 404 potential consumers of EVs in Spain. A cluster analysis of the data was performed based on a set of three socio-demographic characteristics (gender, age, and income), one psychographic (green moral obligation—GMO) and two EV attributes (price and driving range). The results of this analysis showed that there exist two segments with respect to higher or lower customer intentions related to the adoption of EVs. These findings represent a theoretical contribution to current understanding of the customer profile of adopters of EVs and will contribute to the development of communication and retail strategies aimed at customers fitting the profile of early adopters of new technologies.

scholarly journals Optimal Driving Range for Battery Electric Vehicles Based on Modeling Users’ Driving and Charging Behavior

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Zhenbo Lu ◽  
Qi Zhang ◽  
Yu Yuan ◽  
Weiping Tong
Keyword(s):  
Electric Vehicles ◽  
Travel Demand ◽  
Copula Function ◽  
Battery Electric Vehicles ◽  
Trip Chain ◽  
Behavioral Variables ◽  
Driving Range ◽  
Optimal Driving ◽  
Daily Trip ◽  
Daily Travel

This paper proposes a simulation approach for the optimal driving range of battery electric vehicles (BEVs) by modeling the driving and charging behavior. The driving and charging patterns of BEV users are characterized by reconstructing the daily travel chain based on the practical data collected from Shanghai, China. Meanwhile, interdependent behavioral variables for daily trips and each trip are defined in the daily trip chain. To meet the goal of the fitness of driving range, a stochastic simulation framework is established by the Monte Carlo method. Finally, with consideration of user heterogeneity, the optimal driving range under different charging scenarios is analyzed. The findings include the following. (1) The daily trip chain can be reconstructed through the behavioral variables for daily trips and each trip, and there is a correlation between the variables examined by the copula function. (2) Users with different daily travel demand have a different optimal driving range. When choosing a BEV, users are recommended to consider that the daily vehicle kilometers traveled are less than 34% of the battery driving range. (3) Increasing the charging opportunity and charging power is more beneficial to drivers who are characterized by high daily travel demand. (4) On the premise of meeting travel demand, the beneficial effects of increased fast-charging power will gradually decline.

Experimental Investigation on Heating Performance of Newly Designed Air Source Heat Pump System for Electric Vehicles

2020 ◽  
Vol 13 (2) ◽  
Author(s):  
Kang Li ◽  
Jun Yu ◽  
Rong Yu ◽  
Lin Su ◽  
Yidong Fang ◽  
...  
Keyword(s):  
Heat Pump ◽  
Electric Vehicles ◽  
Flow Characteristics ◽  
Cold Climate ◽  
Positive Temperature ◽  
Pump System ◽  
Cooling Performance ◽  
Heat Pump System ◽  
Heating Performance ◽  
Driving Range

Abstract Utilizing the heat from air source with heat pump system in electric vehicles shows a significant advantage from thermoelectric heat source for heat supply in cold climate. It could improve the driving range of electric vehicles considerably in winter and replace the positive temperature coefficient (PTC) heater with an acceptable cost and reliability. In this work, a newly designed heat pump system was first introduced with less components and cost. Second, experiments were conducted to investigate its cooling performance, and subsequent heating performance from −10 to 10 °C. The typical heat transfer and flow characteristics of refrigerant were recorded, and the behavior of each component including compressor, evaporator, condenser, and outside heat exchanger were analyzed and interpreted. The results showed that the heating and cooling performance of the new heat pump system could almost remain the same with traditional air-conditioning system in automobile and surely satisfy with the heat requirement of electric vehicles. In the heating mode, the maximum heating capacity increases by 13% at 400 m3/h air volume from 300 m3/h at the ambient temperature −10 °C, while the outlet air temperature decreases by 4–6%. In addition, using a heat pump system showed an increase in the driving range of electric vehicles by 25–31% as compared to PTC heaters.

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