Two-sided sustainability: Simulating battery degradation in vehicle to grid applications within autonomous electric port transportation

Harnischmacher, Christine; Markefke, Lukas; Brendel, Alfred; Kolbe, Lutz M.

doi:10.1016/j.jclepro.2022.135598

Cited by 9 publications

(3 citation statements)

References 20 publications

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“…On the one hand, grid models are used to establish resource and scene organization based on geospatial partitioning; an example is the organization method of two-dimensional base maps in combination models of two-dimensional image data or three-dimensional city models [24]. On the other hand, in national land, planning, and transportation applications, grid models are also used for regional resource analysis and planning, such as grid-based traffic flow analyses, vehicle-to-grid networks [25], vehicle-to-grid layout-based sustainable urban networks [26], and vehicle-to-grid power-grid service methods [27], which are used for electric vehicle location planning. Finally, OD grids are used in transportation resilience processes [28].…”

Section: Related Workmentioning

confidence: 99%

A Spatiotemporal Hierarchical Analysis Method for Urban Traffic Congestion Optimization Based on Calculation of Road Carrying Capacity in Spatial Grids

Jiang,

Zhao,

Wang

et al. 2024

IJGI

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Traffic congestion is a globally widespread problem that causes significant economic losses, delays, and environmental impacts. Monitoring traffic conditions and analyzing congestion factors are the first, challenging steps in optimizing traffic congestion, one of the main causes of which is regional spatiotemporal imbalance. In this article, we propose an improved spatiotemporal hierarchical analysis method whose steps include calculating road carrying capacity based on geospatial data, extracting vehicle information from remote sensing images to reflect instantaneous traffic demand, and analyzing the spatiotemporal matching degree between roads and vehicles in theory and in practice. First, we defined and calculated the ratio of carrying capacity in a regional road network using a nine-cell-grid model composed of nested grids of different sizes. By the conservation law of flow, we determined unbalanced areas in the road network configuration using the ratio of the carrying capacity of the central cell to that of the nine grid cells. Then, we designed a spatiotemporal analysis method for traffic congestion using real-time traffic data as the dependent variables and five selected spatial indicators relative to the spatial grids as the independent variables. The proposed spatiotemporal analysis method was applied to Chengdu, a typical provincial capital city in China. The relationships among regional traffic, impact factors, and spatial heterogeneity were analyzed. The proposed method effectively integrates GIS, remote sensing, and deep learning technologies. It was further demonstrated that our method is reliable and effective and enhances the coordination of congested areas by virtue of a fast calculation speed and an efficient local balance adjustment.

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Section: Related Workmentioning

confidence: 99%

A Spatiotemporal Hierarchical Analysis Method for Urban Traffic Congestion Optimization Based on Calculation of Road Carrying Capacity in Spatial Grids

Jiang,

Zhao,

Wang

et al. 2024

IJGI

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“…If the batteries are continuously charged and discharged, the internal series-equivalent cell resistance can increase and reduce overall efficiency. The EV battery's life span can decrease with increasing age of the batteries and constant burnout from the regular rate of the charging/discharging state, the depth of discharges, and the temperature of batteries [91,92]. Lithium-ion batteries (LIBs) have experienced a tremendous increase in demand due to the proliferation of EVs.…”

Section: Battery Life Span Degradationsmentioning

confidence: 99%

Grid-Vehicle-Grid (G2V2G) Efficient Power Transmission: An Overview of Concept, Operations, Benefits, Concerns, and Future Challenges

et al. 2023

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Electric vehicles (EVs) are proportionally increasing day-by-day with the inclusion of upgraded technology toward considered zero carbon emission efforts. To mitigate greenhouse gas emissions from the transportation sector, grid-to-vehicle (G2V) and vehicle-to-grid (V2G) technologies are getting significant attention nowadays. EVs equipped with modern technology can help to stabilize the power grids through load-balancing topology during peak hours. The improvement in EVs can support the surroundings in numerous ways, such as power grid voltage and frequency regulations, harmonics distortions, accessible solar energy implemented to the grids, and peak load stabilizations. This literature review analyzes G2V and V2G impacts in more depth, namely opportunities, improvements in strategies, operation, control, issues, and new technology adoptions. This paper emphasizes the possibilities of bringing advancements in EV technology, smooth operations between grids and EVs, fast bidirectional charging and discharging scopes, control of grids and EVs structures, issues, benefits, pitfalls, challenges, and recommendations.

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“…The capacity test was used to assess the battery deterioration of commercially owned EVs that have been utilized for V2G services for 5 years as a part of the world's first commercial operation. With lithium‐ion batteries, potential battery deterioration models were compared in [183], and the best model was chosen. Utilizing pricing information between 2010 and 2014, a 5‐year, hourly economic model of V2G ESS is estimated in [184] for a participant using a 60 kWh battery EV, such as the Tesla Model S or Chevrolet Bolt, in the New York City region.…”

Section: Future Challenges and Directionmentioning

confidence: 99%

A critical review on contemporary power electronics interface topologies to vehicle‐to‐grid technology: Prospects, challenges, and directions

Tasnim,

Riana,

Shams

et al. 2023

IET Power Electronics

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With the evolution of the smart grid concept, the production of electric vehicles (EVs) is predicted to rise because of environmental concerns, technological advancements, and improvements in EV management. Vehicle‐to‐grid (V2G) is an enabling, realistic, and affordable technology to cope with a large number of EVs, increase energy sustainability, provide economical solutions, satisfy user‐side consumers, and facilitate power flow to the grid. Power electronics (PE) converters, particularly bidirectional power converters, are promising interfaces for V2G infrastructure because they determine the characteristics and functionalities of V2G. Therefore, this study provides an extensive review of the characteristics, technological aspects, and visions of V2G infrastructure. This review helps to identify the current state, most recent developments, and problems related to bidirectional interface topologies and control strategies in V2G infrastructure. It further examines the classification of chargers or dischargers based on numerous factors, including limitations and impacts. Furthermore, the benefits, challenges with possible mitigation solutions, and future outlooks in the implementation of V2G technology are discussed. This review is planned to serve as a reference for existing work in V2G frameworks, PE interfacing topologies, and control strategies, and to also facilitate a guideline for future work that can be implemented to flourish V2G technology.

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Two-sided sustainability: Simulating battery degradation in vehicle to grid applications within autonomous electric port transportation

Cited by 9 publications

References 20 publications

A Spatiotemporal Hierarchical Analysis Method for Urban Traffic Congestion Optimization Based on Calculation of Road Carrying Capacity in Spatial Grids

A Spatiotemporal Hierarchical Analysis Method for Urban Traffic Congestion Optimization Based on Calculation of Road Carrying Capacity in Spatial Grids

Grid-Vehicle-Grid (G2V2G) Efficient Power Transmission: An Overview of Concept, Operations, Benefits, Concerns, and Future Challenges

A critical review on contemporary power electronics interface topologies to vehicle‐to‐grid technology: Prospects, challenges, and directions

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