Vehicle Electrification Impacts on Energy Consumption for Different Connected-Autonomous Vehicle Scenario Runs

Islam, Ehsan; Moawad, Ayman; Kim, Namdoo; Rousseau, Aymeric

doi:10.3390/wevj11010009

Cited by 22 publications

(13 citation statements)

References 17 publications

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“…The energy consumption related to connected services depends on the nature of the over the air information exchange with the vehicle and how the systems are designed. For example, extensive use of the infotainment system and apps offering streaming services will have an impact on the amount of energy available for propulsion [12]. This technology is still very much in development, and it is not unlikely that the EVs will experience an evolution as the technology develops and matures, similar to the one we have witnessed in, e.g., mobile phones over the last two decades.…”

Section: Projected Demand From End-user Sidementioning

confidence: 99%

Future Material Developments for Electric Vehicle Battery Cells Answering Growing Demands from an End-User Perspective

et al. 2021

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Nowadays, batteries for electric vehicles are expected to have a high energy density, allow fast charging and maintain long cycle life, while providing affordable traction, and complying with stringent safety and environmental standards. Extensive research on novel materials at cell level is hence needed for the continuous improvement of the batteries coupled towards achieving these requirements. This article firstly delves into future developments in electric vehicles from a technology perspective, and the perspective of changing end-user demands. After these end-user needs are defined, their translation into future battery requirements is described. A detailed review of expected material developments follows, to address these dynamic and changing needs. Developments on anodes, cathodes, electrolyte and cell level will be discussed. Finally, a special section will discuss the safety aspects with these increasing end-user demands and how to overcome these issues.

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Section: Projected Demand From End-user Sidementioning

confidence: 99%

Future Material Developments for Electric Vehicle Battery Cells Answering Growing Demands from an End-User Perspective

et al. 2021

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“…Although, the range anxiety and battery cost issues have been significantly resolved with the earlier mentioned developments. However, EVs' range per charge is still limited as compared to gasoline vehicles have an average energy density of 12000 Wh/kg [18]- [19].…”

Section: Introductionmentioning

confidence: 99%

An Overview on Medium Voltage Grid Integration of Ultra-Fast Charging Stations: Current Status and Future Trends

Ahmad

Qin

Wijekoon

et al. 2022

IEEE Open J. Ind. Electron. Soc.

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The emphasis on clean and green technologies to curtail greenhouse gas emissions due to fossil fuel-based economies has originated the shift towards electric mobility. As on-road electric vehicles (EVs) have shown exponential growth over the last decade, so have the charging demands. The provision of charging facilities from the low-voltage network will not only increase the distribution system's complexity and dynamics but will also challenge its operational capabilities, and large-scale upgrades will be required to meet the inevitably increasing charging demands. An ultra-fast (UF) charging infrastructure that replicates the gasoline refueling network is urgently needed to facilitate a seamless transition to EVs and ensure smooth operation. This paper presents a review of state-of-the-art DC fast chargers, the charging infrastructure's current status, motivation, and challenges for medium-voltage (MV) UF charging stations (UFCS). Furthermore, we consider the possible UFCS architectures and suitable power electronics topologies for UF charging applications. To address the peak formation issues in the daily load profile and high operational expenses of UFCSs, integration of renewable energy sources and energy storage systems due to their technological and economic benefits is being considered. The benefits of line frequency transformer (LFT) replacement with a solid-state transformer (SST), SST models, SST-based UF chargers, and MV SST-based UFCS architectures, as well as related MV active front-end and back-end power electronics topologies, are presented. Finally, the application of microgrids' hierarchical control architecture is considered for chargers and system-level control and management of UFCSs.INDEX TERMS Electric vehicles (EVs), DC fast chargers, ultra-fast charging stations (UFCS), renewable energy sources (RESs), energy storage systems (ESSs), line frequency transformer (LFT), solid state transformer (SST).

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“…Among them, many automakers emphasized the improvement of energy efficiency of EVs, and combining the connected-and-automated vehicle (CAV) technologies and electrified powertrain has been recently highlighted [9], [10].…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Speed Planner for Connected and Automated Electric Vehicles on Sloped Roads

2022

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This paper proposes an energy-efficient speed planning strategy for a connected and automated vehicle (CAV) considering the upcoming traffic and road gradient information, which can be provided by the vehicle-to-everything communication systems. Unlike human drivers, CAV that receives long and short sighted traffic and road geometry information can optimize their speed profile to increase energy efficiency, depending on the powertrain types. In particular, the developed speed planner reducing the battery output power through the energy-efficiency improvement systems in electrified vehicles. Consequently, the CAV that is aware of the existence of the upcoming road gradient increases the speed on the uphill, and decreases the speed on the downhill to minimize the battery output power, which is different from the natural behaviors of human-driven vehicles on sloped roads. To consider the constraints, the model predictive control-based speed planner is developed, and its effectiveness is verified under various driving conditions. Simulation results show that our approach significantly outperforms the alternative speed profiles in terms of battery energy-saving, achieving about 27.21% of the energy efficiency improvement.INDEX TERMS Connected and automated vehicle, model predictive control, electric vehicle, energyefficiency improvement, energy-efficient driving.

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Vehicle Electrification Impacts on Energy Consumption for Different Connected-Autonomous Vehicle Scenario Runs

Cited by 22 publications

References 17 publications

Future Material Developments for Electric Vehicle Battery Cells Answering Growing Demands from an End-User Perspective

Future Material Developments for Electric Vehicle Battery Cells Answering Growing Demands from an End-User Perspective

An Overview on Medium Voltage Grid Integration of Ultra-Fast Charging Stations: Current Status and Future Trends

Energy-Efficient Speed Planner for Connected and Automated Electric Vehicles on Sloped Roads

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