A Review on Intelligent Energy Management Systems for Future Electric Vehicle Transportation

Teimoori, Zeinab; Yassine, Abdulsalam

doi:10.3390/su142114100

Cited by 26 publications

(4 citation statements)

References 138 publications

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“…Data privacy is also a significant concern in V2V charging infrastructure, necessitating compliance with privacy laws and regulations like GDPR [82][83][84]. The potential security and privacy threats posed by using AI techniques to improve the system are emphasized [85].…”

Section: ) Enhancing Security and Privacy In V2v Charging Infrastructurementioning

confidence: 99%

Overview of Vehicle-to-Vehicle Energy Sharing Infrastructure

Alghawi,

Mounsef

2024

IEEE Access

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Electric vehicles (EVs) play a pivotal role in fostering sustainable societies, industries, and economies. By curbing greenhouse gas emissions, enhancing air quality, and promoting energy independence, they represent a significant step toward a greener future. As the global EV market continues to expand over the coming decades, the demand for charging stations (CSs) will inevitably surge, necessitating substantial investments from both governments and private investors. In this context, vehicle-to-vehicle (V2V) energy sharing emerges as a transformative solution that can offer EV owners flexibility and energy security beyond the reliance on conventional CSs. This survey delves into the existing technologies harnessed in V2V energy sharing activities while addressing critical challenges to ensure the success of a V2V charge transfer system. It begins by outlining the research methodology, followed by an analysis of the technological landscape, pinpointing the latest advancements and identifying gaps in V2V energy sharing technologies. As a result, it proposes a comprehensive framework for a robust V2V energy and chargesharing infrastructure. The survey also evaluates the financial and economic implications of V2V energy sharing, shedding light on the potential returns for stakeholders and investors. Furthermore, the survey discusses crucial policy and regulatory considerations necessary for a smooth and efficient integration of V2V systems into existing infrastructures. By elucidating solutions to address implementation challenges, the paper aims to pave the way for the successful adoption and widespread deployment of V2V energy sharing systems.

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Section: ) Enhancing Security and Privacy In V2v Charging Infrastructurementioning

confidence: 99%

Overview of Vehicle-to-Vehicle Energy Sharing Infrastructure

Alghawi,

Mounsef

2024

IEEE Access

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“…The lithium nickel manganese cobalt oxide (LNMC) and lithium nickel cobalt aluminum oxide (LNCA) batteries perform satisfactorily in terms of high capacity and extended lifespan; however, there is a scarcity of nickel and cobalt resources. Although lithium manganese oxide (LMO) batteries have a high voltage and adequate sources of manganese exist, they have a constrained capacity and an extended lifespan [132,133]. Lithium titanate (LTO) and lithium iron phosphate (LiFePO 4 ) are two different lithium-ion battery chemistries that were used in [124] to test the precision of the SOC assessment technique.…”

Section: Battery Materials Concernsmentioning

confidence: 99%

Artificial Intelligence Approaches for Advanced Battery Management System in Electric Vehicle Applications: A Statistical Analysis towards Future Research Opportunities

Lipu,

Miah,

Jamal

et al. 2023

Vehicles

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In order to reduce carbon emissions and address global environmental concerns, the automobile industry has focused a great deal of attention on electric vehicles, or EVs. However, the performance and health of batteries can deteriorate over time, which can have a negative impact on the effectiveness of EVs. In order to improve the safety and reliability and efficiently optimize the performance of EVs, artificial intelligence (AI) approaches have received massive consideration in precise battery health diagnostics, fault analysis and thermal management. Therefore, this study analyzes and evaluates the role of AI approaches in enhancing the battery management system (BMS) in EVs. In line with that, an in-depth statistical analysis is carried out based on 78 highly relevant publications from 2014 to 2023 found in the Scopus database. The statistical analysis evaluates essential parameters such as current research trends, keyword evaluation, publishers, research classification, nation analysis, authorship, and collaboration. Moreover, state-of-the-art AI approaches are critically discussed with regard to targets, contributions, advantages, and disadvantages. Additionally, several significant problems and issues, as well as a number of crucial directives and recommendations, are provided for potential future development. The statistical analysis can guide future researchers in developing emerging BMS technology for sustainable operation and management in EVs.

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“…On the other hand, it was identified that the infrastructural requirements for enabling IoT-based EV charging stations are not fully developed [21]. Other aspects of the EV charging imbroglio are data security and privacy threats, which were comprehensively analyzed in [22] and for which federated learning and blockchain technology are advanced as two emerging solutions to address these concerns. In [23], an in-depth analysis of EV charging station infrastructure is conducted, in which the optimal charging scheduling techniques are proposed as a viable solution for EV charging infrastructure planning, location, and management.…”

Section: Introductionmentioning

confidence: 99%

The Role of Internet of Things on Electric Vehicle Charging Infrastructure and Consumer Experience

Emodi,

Akuru,

Dioha

et al. 2023

Energies

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The drive for net-zero emission and global decarbonization spurred the need for a worldwide transition towards cleaner energy options. The fossil-fuel-dominated global transportation system is a target for these initiatives, accounting for 37% of recent carbon emissions. This has accelerated the adoption of electric vehicles (EVs) into the global market to cut down carbon emissions and improve efficiency in the transportation sector. In the face of this growth, limitations in EV charging infrastructure still loom large amongst EV consumers. Resolving this bottleneck requires systematic approaches to ensure seamless operation and integration into the existing transport systems. This study examines the critical role of IoT in addressing the challenges of EV public charging through reviewing the literature to understand the inter-relation and highlighting its attendant impact on consumer experience. Findings show that while IoT serves as a strong tool to foster public interest through favorable public policy, its novel and innovative nature faces developmental challenges based on existing government policies that could hinder the interest of potential investors. Therefore, governments should consider evaluating existing policies and practices to ascertain their suitability for IoT adoption in EVs, ensuring that they do not constitute unintentional barriers.

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A Review on Intelligent Energy Management Systems for Future Electric Vehicle Transportation

Cited by 26 publications

References 138 publications

Overview of Vehicle-to-Vehicle Energy Sharing Infrastructure

Overview of Vehicle-to-Vehicle Energy Sharing Infrastructure

Artificial Intelligence Approaches for Advanced Battery Management System in Electric Vehicle Applications: A Statistical Analysis towards Future Research Opportunities

The Role of Internet of Things on Electric Vehicle Charging Infrastructure and Consumer Experience

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