A review on powertrain subsystems and charging technology in battery electric vehicles: Current and future trends

2021 ◽  
pp. 095440702110259
Author(s):  
Kunal Wagh ◽  
Pankaj Dhatrak
Keyword(s):  
Electric Vehicles ◽  
Combustion Engine ◽  
Future Research ◽  
Future Trends ◽  
Road Transportation ◽  
Market Prices ◽  
Local Pollution ◽  
Battery Electric Vehicles ◽  
Global Emission ◽  
Battery Technology

The transport industry is a major contributor to both local pollution and greenhouse gas emissions (GHGs). The key challenge today is to mitigate the adverse impacts on the environment caused by road transportation. The volatile market prices and diminishing supplies of fuel have led to an unprecedented interest in battery electric vehicles (BEVs). In addition, improvements in motor efficiencies and significant advances in battery technology have made it easier for BEVs to compete with internal combustion engine (ICE) vehicles. This paper describes and assesses the latest technologies in different elements of the BEV: powertrain architectures, propulsion and regeneration systems, energy storage systems and charging techniques. The current and future trends of these technologies have been reviewed in detail. Finally, the key issue of electric vehicle component recycling (battery, motor and power electronics) has been discussed. Global emission regulations are pushing the industry towards zero or ultra-low emission vehicles. Thus, by 2025, most cars must have a considerable level of powertrain electrification. As the market share of electric vehicles increases, clear trends have emerged in the development of powertrain systems. However, some significant barriers must be overcome before appreciable market penetration can be achieved. The objective of the current study is to review and provide a complete picture of the current BEV technology and a framework to assist future research in the sector.

scholarly journals Advancements in Battery Technologies of Electric Vehicle

2021 ◽  
Vol 2129 (1) ◽  
pp. 012011
Author(s):  
V.K Bupesh Raja ◽  
Ignatius Raja ◽  
Rahul Kavvampally
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Automobile Industry ◽  
Combustion Engine ◽  
Maximum Energy ◽  
Electric Cars ◽  
Alternative Materials ◽  
Tremendous Amount ◽  
Battery Technology ◽  
Compact Design

Abstract The Automotive Industry has undergone a huge revolution – Electric Vehicles! Electric cars are growing fast and the demand for them is increasing all around the world, thanks to the more and improved choice, reduced prices, and enhancing battery technology. Introduced more than 100 years ago, electric vehicles have gone through a tremendous amount of advancement. This paper reviews the current major challenges faced by the Electric Vehicle Industry along with possible solutions to overcome them. Although electric vehicles have come a long way, the battery used in the vehicles needs to be further explored to harness maximum energy with a compact design. Electric vehicles should soon be able to compete with combustion engine vehicles in every aspect. Also, this paper reviews alternative materials for electrodes and batteries to make charging faster and reliable than ever. This paper envisages few concepts that could revolutionize Automobile Industry further in the future.

A simulation-based concept design approach for combustion engine and battery electric vehicles

2018 ◽  
Vol 233 (7) ◽  
pp. 1950-1967 ◽  
Author(s):  
Nikola Holjevac ◽  
Federico Cheli ◽  
Massimiliano Gobbi
Keyword(s):  
Energy Consumption ◽  
Internal Combustion Engine ◽  
Electric Vehicles ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Computer Aided Engineering ◽  
Concept Design ◽  
Battery Electric Vehicles ◽  
Computer Aided ◽  
Effective Design

The early concept design of a vehicle is becoming increasingly crucial to determine the success of a car. Broadening market competition, more stringent regulations and fast technological changes require a prompt response from carmakers, and computer-aided engineering has emerged in recent years as the promising way to provide more efficient and cost-effective design and to cut development time and costs. The work presented in this paper shows an approach based on computer-aided engineering to determine vehicle’s energy consumption and performance. The different vehicle’s subsystem are first analyzed separately by using dedicated simulation tools and then integrated to obtain the entire vehicle. The work covers a wide range of vehicle layouts. Internal combustion engine vehicles and battery electric vehicles are considered and various transmission configurations are contemplated with respect to some of the most adopted solutions for these vehicles. The simulation results allow to identify the most effective design variables regarding the combustion engine and the electric motor and to compare the different layouts over various car segments. The results clearly point out that for internal combustion engine vehicles, the combustion engine is the crucial component that defines the vehicle’s characteristics and particularly the energy consumption. Conversely, battery electric vehicles show a more balanced distribution of the losses, and therefore to improve the vehicle’s behavior, different components should be considered in detail. Nevertheless, the choice of the number of electric motors and the transmission choice play a significant role in defining the vehicle performances.

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 Potential of range extender electric vehicles (REEVS)

2020 ◽  
Author(s):  
Ibham Veza ◽  
Muhammad Faizullizam Roslan ◽  
Mohd Farid Muhamad Said ◽  
Zulkarnain Abdul Latiff
Keyword(s):  
Electric Vehicles ◽  
Combustion Engine ◽  
Detailed Comparison ◽  
Review Article ◽  
Low Temperature Combustion ◽  
Compression Ignition ◽  
Market Penetration ◽  
Battery Electric Vehicles ◽  
Range Extender ◽  
Temperature Combustion

Battery Electric Vehicles (BEVs) is a promising technology. However, it suffers from low range characteristics thus increasing the anxiety to prospect customers and hindering its market penetration. To overcome this challenge, a range extender that can generate additional power to charge the battery could be the solution. This brief review article will highlight the prospects and challenges of range extender technology for electric vehicles. A number of automobile manufacturers have launched their Range Extended Electric Vehicles (REEVs) models and the detailed comparison will be given. Several types of range extenders will be discussed, including the internal combustion engine, microturbine, and fuel cell. Lastly, this report will suggest the use of Low Temperature Combustion (LTC) i.e Homogeneous Charge Compression Ignition (HCCI) engine be utilised as range extenders for electric vehicles.

scholarly journals Multi-objective Eco-Routing Model Development and Evaluation for Battery Electric Vehicles

2021 ◽  
pp. 036119812110315
Author(s):  
Kyoungho Ahn ◽  
Youssef Bichiou ◽  
Mohamed Farag ◽  
Hesham A. Rakha
Keyword(s):  
Energy Consumption ◽  
Travel Time ◽  
Electric Vehicles ◽  
Large Scale ◽  
Traffic Assignment ◽  
Combustion Engine ◽  
Model Development ◽  
User Equilibrium ◽  
Multi Objective ◽  
Battery Electric Vehicles

This paper develops a multi-objective eco-routing algorithm (eco- and travel time-optimum routing) for battery electric vehicles (BEVs) and internal combustion engine vehicles (ICEVs) and investigates the network-wide impacts of the proposed multi-objective Nash optimum (user equilibrium) traffic assignment on a large-scale network. Unlike ICEVs, BEVs are more energy efficient on low-speed arterial trips compared with highway trips. Different energy consumption patterns require different eco-routing strategies for ICEVs and BEVs. This study found that single-objective eco-routing could significantly reduce the energy consumption of BEVs but also significantly increase their average travel time. Consequently, the study developed a multi-objective routing model (eco- and travel time-routing) to improve both energy and travel time measures. The model introduced a link cost function that uses the specification of the value of time and the cost of fuel/energy. The simulation study found that multi-objective routing could reduce BEV energy consumption by 13.5%, 14.2%, 12.9%, and 10.7%, as well as ICEV fuel consumption by 0.1%, 4.3%, 3.4%, and 10.6% for “not congested, “slightly congested,”“moderately congested,” and “highly congested” conditions, respectively. The study also found that multi-objective user equilibrium routing reduced the average vehicle travel time by up to 10.1% compared with the standard user equilibrium traffic assignment for highly congested conditions, producing a solution closer to the system optimum traffic assignment. The results indicate that the proposed multi-objective eco-routing strategy can reduce vehicle fuel/energy consumption effectively with minimum impacts on travel times for both BEVs and ICEVs.

Booking Behavior of Free-Floating Carsharing Users

2017 ◽  
Vol 2650 (1) ◽  
pp. 123-132 ◽  
Author(s):  
Tanja Niels ◽  
Klaus Bogenberger
Keyword(s):  
Internal Combustion Engine ◽  
Mobile Phone ◽  
Electric Vehicles ◽  
Urban Areas ◽  
Combustion Engine ◽  
New Technology ◽  
Internal Combustion ◽  
Decision Criterion ◽  
Battery Electric Vehicles ◽  
Important Decision

In recent years, the services of free-floating carsharing (FFCS) systems have gained popularity, especially in urban areas. Some FFCS operators are now including battery electric vehicles (BEVs) in their fleets. This addition is especially beneficial for cities and their inhabitants, as BEVs are locally emission free and move more quietly. However, how FFCS customers react to the new technology has not yet been empirically analyzed. By combining the app call and booking data of an FFCS operator in Munich, Germany, this study assessed the preferences of customers when booking a specific car and evaluated the attractiveness of the fleet’s BEVs. With the consideration of the spatial availability encountered when the mobile phone app was opening, the study found that the distance to the nearest available car was the most important decision criterion for customers. If a car had been available within 200 m, the probability that customers booked a car would have been twice as great compared with the case that the nearest vehicle had been 500 m away (100 m ≈ 0.06 mi). In addition, the majority of the customers booked the nearest available car. Nevertheless, certain qualities of vehicles made users walk to a car that was farther away. The study identified popular vehicle models and found that customers preferred to use the fleet’s BEVs, independent of the battery level. BEVs were used for almost the same distances as internal combustion engine vehicles and were suitable for most use cases: more than 80% of the FFCS trips covered a distance of at most 20 km (≈12.4 mi).

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