Optimal battery capacity for an electric-vehicle-sharing-model in the People’s Republic of China

2016 ◽  
Vol 231 (11) ◽  
pp. 1471-1488 ◽  
Author(s):  
Ning Wang ◽  
Runlin Yan ◽  
Gangzhan Fu
Keyword(s):  
Life Cycle ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Economic Benefits ◽  
Government Subsidy ◽  
Republic Of China ◽  
Battery Electric Vehicles ◽  
Battery Capacity ◽  
Daily Travel Distance ◽  
Daily Travel

A project on electric vehicle sharing has been previously carried out as a demonstration operation in Shanghai, Beijing, Hangzhou and Shenzhen in the People’s Republic of China. The high initial investment caused by the high cost of batteries limits commercialization of an electric-vehicle-sharing model. Therefore, a key problem that the operators must solve is to choose the appropriate battery capacity for shared electric vehicles based on different urban driving cycles. Based on three new energy vehicles (i.e. electric vehicles) for demonstration cities of different scales as represented by Shanghai, Shenzhen and Hefei, a whole-life-cycle evaluation model of economic benefits for shared battery electric vehicles was established in this paper. The optimal battery capacity for different substitution rates was calculated using MATLAB software. Then, the influences that the substitution rate, the urban driving cycle, the average daily travel distance, the service price, the charging price, the battery (cycle) life, the battery pack cost and the government subsidy have on the optimal battery capacity in the life-cycle economic benefit model was explained. Suggestions for the optimal battery capacity are provided for operators in different cities. The results indicate that the purchasing cost, the energy consumption cost and the battery depreciation cost are the three main components of the life-cycle cost, which account for more than 80%. The average daily travel distance and the local government subsidy affect the optimal battery capacity only for certain substitution rates. The life-cycle economic benefits of one shared electric vehicle is found to have the most influence on the service price. This paper suggests that shared battery electric vehicles with different battery sizes of 44.5 kW h, 34.9 kW h and 36.96 kW h are suitable for use in metropolitan cities, in large-sized to medium-sized cities and in medium-sized to small-sized cities respectively, as represented correspondingly by Shanghai, Shenzhen and Hefei.

scholarly journals Range and Battery Depletion Concerns with Electric Vehicles

2017 ◽  
Vol 2017 ◽  
pp. 1-12
Author(s):  
Tomio Miwa ◽  
Hitomi Sato ◽  
Takayuki Morikawa
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Battery Electric Vehicle ◽  
Questionnaire Data ◽  
Charging Station ◽  
Intention To Purchase ◽  
Probabilistic Distribution ◽  
Daily Travel Distance ◽  
Charging Stations ◽  
Daily Travel

This study investigates the effects of the range of a battery electric vehicle (EV) by using questionnaire data. The concern about battery depletion changes according to charging station deployment. Firstly, the methodology for deriving the probabilistic distribution of the daily travel distance is developed, which enables us to analyze people’s tolerance of the risk of battery depletion. Secondly, the desired range of an EV is modeled. This model considers the effect of changing charging station deployment and can analyze the variation in the desired range. Then, the intention of a household to purchase an EV is analyzed by incorporating range-related variables. The results show that people can live with a risk of battery depletion of around 2% to 5%. The deployment of charging stations at large retail facilities and/or workplace parking spaces reduces the desired range of an EV. Finally, the answers to the questionnaire show that the probability of battery depletion on a driving day has little effect on the intention to purchase an EV. Instead, people tend to evaluate the range by itself or directly compare it with their desired range.

scholarly journals Criticality Assessment of the Life Cycle of Passenger Vehicles Produced in China

2021 ◽  
Author(s):  
Xin Sun ◽  
Vanessa Bach ◽  
Matthias Finkbeiner ◽  
Jianxin Yang
Keyword(s):  
Life Cycle ◽  
Internal Combustion Engine ◽  
Electric Vehicle ◽  
Environmental Impacts ◽  
Electric Vehicles ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Battery Electric Vehicle ◽  
Battery Electric Vehicles ◽  
Criticality Assessment

AbstractChina is globally the largest and a rapidly growing market for electric vehicles. The aim of the paper is to determine challenges related to criticality and environmental impacts of battery electric vehicles and internal combustion engine vehicles, focusing not only on a global but also the Chinese perspective, applying the ESSENZ method, which covers a unique approach to determine criticality aspects as well as integrating life cycle assessment results. Real industry data for vehicles and batteries produced in China was collected. Further, for the criticality assessment, Chinese import patterns are analyzed. The results show that the battery electric vehicle has similar and partly increased environmental impacts compared with the internal combustion engine vehicle. For both, the vehicle cycle contributes to a large proportion in all the environmental impact categories except for global warming. Further, battery electric vehicles show a higher criticality than internal combustion engine vehicles, with tantalum, lithium, and cobalt playing essential roles. In addition, the Chinese-specific results show a lower criticality compared to the global assessment for the considered categories trade barriers and political stability, while again tantalum crude oil and cobalt have high potential supply disruptions. Concluding, battery electric vehicles still face challenges regarding their environmental as well as criticality performance from the whole supply chain both in China and worldwide. One reason is the replacement of the lithium-ion power battery. By enhancing its quality and establishing battery recycling, the impacts of battery electric vehicle would decrease.

scholarly journals Experimental Electric Vehicle eŠus Gen2

2016 ◽  
Vol 14 (2) ◽  
pp. 7-12
Author(s):  
Josef Břoušek ◽  
Martin Bukvic ◽  
Pavel Jandura
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Battery Electric Vehicles ◽  
Current Trends ◽  
Design Solutions ◽  
Electrical Components ◽  
Vehicle Powertrain

Abstract In the introduction to the article, the conception and development of an experimental electric vehicle is described. It is followed by a description of the used mechanical and electrical components in combination with the design solutions of sub-units, such as the vehicle powertrain and traction battery. The choice of components and design solutions is evaluated here with regard to the current trends in the development of battery electric vehicles.

scholarly journals Joint Optimal Policy for Subsidy on Electric Vehicles and Infrastructure Construction in Highway Network

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2479 ◽  
Author(s):  
Yue Wang ◽  
Zhong Liu ◽  
Jianmai Shi ◽  
Guohua Wu ◽  
Rui Wang
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Optimal Policy ◽  
Practical Case ◽  
Battery Electric Vehicle ◽  
Battery Electric Vehicles ◽  
Endurance Range ◽  
Highway Network ◽  
Charging Stations ◽  
The Impact

The promotion of the battery electric vehicle has become a worldwide problem for governments due to its short endurance range and slow charging rate. Besides an appropriate network of charging facilities, a subsidy has proved to be an effective way to increase the market share of battery electric vehicles. In this paper, we investigate the joint optimal policy for a subsidy on electric vehicles and infrastructure construction in a highway network, where the impact of siting and sizing of fast charging stations and the impact of subsidy on the potential electric vehicle flows is considered. A new specified local search (LS)-based algorithm is developed to maximize the overall number of available battery electric vehicles in the network, which can get provide better solutions in most situations when compared with existed algorithms. Moreover, we firstly combined the existing algorithms to establish a multi-stage optimization method, which can obtain better solutions than all existed algorithms. A practical case from the highway network in Hunan, China, is studied to analyze the factors that impact the choice of subsidy and the deployment of charging stations. The results prove that the joint policy for subsidy and infrastructure construction can be effectively improved with the optimization model and the algorithms we developed. The managerial analysis indicates that the improvement on the capacity of charging facility can increase the proportion of construction fees in the total budget, while the improvement in the endurance range of battery electric vehicles is more efficient in expanding battery electric vehicle adoption in the highway network. A more detailed formulation of the battery electric vehicle flow demand and equilibrium situation will be studied in the future.

scholarly journals Reverse Logistics Network Design of Electric Vehicle Batteries considering Recall Risk

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Hao Hao ◽  
Yichen Sun ◽  
Xueyun Mei ◽  
Yanjun Zhou
Keyword(s):  
Environmental Pollution ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Reverse Logistics ◽  
Economic Benefits ◽  
Environmental Risks ◽  
Sales Volume ◽  
Logistics Network ◽  
The Social ◽  
Reverse Logistics Network

In 2018-2019, the recall scale of electric vehicles (EVs) in China reached 168,700 units; recalls account for approximately 6.9% of sales volume. There are imperative reasons for electric vehicle batteries (EVBs) recalls, such as mandatory laws or policies, safety and environmental pollution risks, and the high value of EVB echelon use, and thus, it has become increasingly important to reasonably design a reverse logistics (RL) network for an EVB recall. In this study, a multiobjective and multiperiod recall RL network model is developed to minimize safety and environmental risks, maximize the social responsibility and economic benefits, and consider the characteristics of EVBs, including the configuration of key recall facilities and the control of recall flows. The results of this study will help EVB practitioners, relevant departmental policymakers, and others to comprehensively understand the recall of EVBs, strengthen the safety and environmental protection issues in the EVB recall process, and promote the establishment of a safe, green, and sustainable EVB recall RL network.

scholarly journals Life Cycle Assessment of Electric Vehicle Batteries: An Overview of Recent Literature

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2864 ◽  
Author(s):  
Andrea Temporelli ◽  
Maria Leonor Carvalho ◽  
Pierpaolo Girardi
Keyword(s):  
Life Cycle ◽  
Electric Vehicles ◽  
Combustion Engine ◽  
Climate Change Impacts ◽  
Hybrid Vehicles ◽  
Decision Makers ◽  
Life Cycle Assessments ◽  
Battery Capacity ◽  
Automotive Batteries ◽  
Use Phase

In electric and hybrid vehicles Life Cycle Assessments (LCAs), batteries play a central role and are in the spotlight of scientific community and public opinion. Automotive batteries constitute, together with the powertrain, the main differences between electric vehicles and internal combustion engine vehicles. For this reason, many decision makers and researchers wondered whether energy and environmental impacts from batteries production, can exceed the benefits generated during the vehicle’s use phase. In this framework, the purpose of the present literature review is to understand how large and variable the main impacts are due to automotive batteries’ life cycle, with particular attention to climate change impacts, and to support researchers with some methodological suggestions in the field of automotive batteries’ LCA. The results show that there is high variability in environmental impact assessment; CO2eq emissions per kWh of battery capacity range from 50 to 313 g CO2eq/kWh. Nevertheless, either using the lower or upper bounds of this range, electric vehicles result less carbon-intensive in their life cycle than corresponding diesel or petrol vehicles.

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.

scholarly journals Carbon Footprint and Water Footprint of Electric Vehicles and Batteries Charging in View of Various Sources of Power Supply in the Czech Republic

Environments ◽  
2019 ◽  
Vol 6 (3) ◽  
pp. 38 ◽  
Author(s):  
Simona Jursova ◽  
Dorota Burchart-Korol ◽  
Pavlina Pustejovska
Keyword(s):  
Czech Republic ◽  
Life Cycle ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Carbon Footprint ◽  
Electricity Generation ◽  
Water Footprint ◽  
Hard Coal ◽  
The Czech Republic ◽  
Main Determinant

In the light of recent developments regarding electric vehicle market share, we assess the carbon footprint and water footprint of electric vehicles and provide a comparative analysis of energy use from the grid to charge electric vehicle batteries in the Czech Republic. The analysis builds on the electricity generation forecast for the Czech Republic for 2015–2050. The impact of different sources of electricity supply on carbon and water footprints were analyzed based on electricity generation by source for the period. Within the Life Cycle Assessment (LCA), the carbon footprint was calculated using the Intergovernmental Panel on Climate Change (IPCC) method, while the water footprint was determined by the Water Scarcity method. The computational LCA model was provided by the SimaPro v. 8.5 package with the Ecoinvent v. 3 database. The functional unit of study was running an electric vehicle over 100 km. The system boundary covered an electric vehicle life cycle from cradle to grave. For the analysis, we chose a vehicle powered by a lithium-ion battery with assumed consumption 19.9 kWh/100 km. The results show that electricity generated to charge electric vehicle batteries is the main determinant of carbon and water footprints related to electric vehicles in the Czech Republic. Another important factor is passenger car production. Nuclear power is the main determinant of the water footprint for the current and future electric vehicle charging, while, currently, lignite and hard coal are the main determinants of carbon footprint.

scholarly journals A Novel Range-Extended Strategy for Fuel Cell/Battery Electric Vehicles

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Jenn-Jiang Hwang ◽  
Jia-Sheng Hu ◽  
Chih-Hong Lin
Keyword(s):  
Fuel Cell ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Diesel Generator ◽  
Control Approach ◽  
Battery Electric Vehicles ◽  
Switch Control ◽  
Driving Model ◽  
Range Anxiety ◽  
Charging Strategy

The range-extended electric vehicle is proposed to improve the range anxiety drivers have of electric vehicles. Conventionally, a gasoline/diesel generator increases the range of an electric vehicle. Due to the zero-CO2emission stipulations, utilizing fuel cells as generators raises concerns in society. This paper presents a novel charging strategy for fuel cell/battery electric vehicles. In comparison to the conventional switch control, a fuzzy control approach is employed to enhance the battery’s state of charge (SOC). This approach improves the quick loss problem of the system’s SOC and thus can achieve an extended driving range. Smooth steering experience and range extension are the main indexes for development of fuzzy rules, which are mainly based on the energy management in the urban driving model. Evaluation of the entire control system is performed by simulation, which demonstrates its effectiveness and feasibility.

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