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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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A novel method for co-optimizing battery sizing and charging strategy of battery electric bus fleets: An application to the city of Paris
Battery-electric buses (BEBs) are a promising technology for replacing diesel buses and reducing their environmental burden. However, their charging process can take several hours, depending on the charging technique and strategy, making them susceptible to schedule disruptions. Furthermore, the selection of the charging strategy and battery size can increase the total capital investment and operational expenses of a BEB fleet, which is a major obstacle to its adoption. Therefore, to minimize the total cost of ownership (TCO) and prevent schedule disruptions, it is essential to establish a well-defined approach to determine an appropriate battery size and charging strategy for BEB fleets. This paper presents a method for reducing the TCO of BEB by determining the optimal battery size and charging strategy for each bus while satisfying operating constraints. The method involves a two-step optimization algorithm that uses Dynamic Programming and Genetic Algorithm. Further, the study applies this approach to the bus fleet serving line 21 in Paris and generates the optimal battery sizing, charging strategy, and required charging infrastructure. The results indicate that 100 kWh batteries offer the best trade-off between capital and operational expenditure for the fleet deployment if used with 65–85 kW chargers at bus terminals.
Effects of vehicle purchase restrictions on urban air quality: Empirical study on cities in China
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Menstruation and homelessness: Challenges faced living in shelters and on the street in New York City
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Techno-economic analysis of residential building heating strategies for cost-effective upgrades in European cities
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Comparative study of city-level sustainability assessment standards in China and the United States
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Unsupervised learning for deploying smart charging public infrastructure for electric vehicles in sprawling cities
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Goal-driven scheduling model in edge computing for smart city applications
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Urbanization and climate change jointly shift land surface phenology in the northern mid-latitude large cities
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Loadings, chemical patterns and risks of inhalable road dust particles in an Atlantic city in the north of Portugal
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Unexpected air quality impacts from implementation of green infrastructure in urban environments: A Kansas City case study
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Spatial adoption forecast methodology for photovoltaic systems throughout a city
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Cybersecurity vulnerability and resilience of cooperative driving automation for energy efficiency and flow stability in smart cities
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Correlates of physical activity in fifth-grade students in Ho Chi Minh City, Vietnam
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