Driving and Energy Profiles of Urban Bus Routes Predicted for Operation with Battery Electric Buses DOI Creative Commons
Zbigniew Czapla, Grzegorz Sierpiński

Energies, Journal Year: 2023, Volume and Issue: 16(15), P. 5706 - 5706

Published: July 31, 2023

Battery electric buses are used for operation on urban bus routes. The main disadvantage of battery is their limited range that depends energy consumption. This paper presents a new approach to the estimation consumption routes based driving and profiles. results from travel parameters along route. described by determination profiles GPS location data recorded receiver bus. Location at consecutive track points constant frequency. For each point, distance preceding point determined using data, then speed acceleration calculated. analyzed route divided into sections. section, consisting time, parameters, determined. Using estimated individual sections entire Experimental have been obtained selected under various traffic conditions. assumed model consumption, consumed 1.8 KWh/km off-peak hours 2.1 peak hours. describe well allow evaluation suitability with buses.

Language: Английский

Optimal deployment of fast-charging stations for electric vehicles considering the sizing of the electrical distribution network and traffic condition DOI Creative Commons
Miguel Campaña, Esteban Inga

Energy Reports, Journal Year: 2023, Volume and Issue: 9, P. 5246 - 5268

Published: May 1, 2023

The conventional vehicle fleet worldwide has contributed to the degradation of air quality due CO2 emissions. Consequently, it migrated from internal combustion electric vehicles (EVs). However, is essential ensure deployment charging station infrastructures (EVCSI) guarantee their interoperability for development mobility. Moreover, sustainability EVCSI depends not only on capacity meet demand but also adequate number terminals in different public stations (CS) reduce waiting times battery recharging. Then achieve an optimal sizing stations, crucial foresee maximum that could use CS during a time interval. must respond real mobility constraints and technical conditions, such as vehicular flow, roads according geometry, trajectories marked by users, possible exit operation some CS. Therefore, this paper addresses problem considering four fundamental axes, which are: stochastic analysis heterogeneous solution transportation with capacitated multicommodity flow Hungarian algorithm, loading times, finally proposed will be validated using CymDist software electrical engineering. computational complexity model combinatorial type defined NP-hard given multiple variables within problem.

Language: Английский

Citations

19
Integrating ESG Principles into Smart Logistics: Toward Sustainable Supply Chains DOI

Leogrande Angelo

Published: Jan. 1, 2025

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Language: Английский

Citations

0
Electric Vehicles Empowering the Construction of Green Sustainable Transportation Networks in Chinese Cities: Dynamic Evolution, Frontier Trends, and Construction Pathways DOI Creative Commons
Dacan Li,

Adriana Helena Lau,

Yuanyuan Gong

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(8), P. 1943 - 1943

Published: April 10, 2025

As the global ecological environment faces serious challenges and extreme climate change threatens survival of humankind, promotion green development has become focus for all countries in world. one world’s major greenhouse gas emitters, China put forward “twin goals” achieving carbon peaking neutrality is committed to promoting low-carbon transformation its cities. core economic social development, cities are main source emissions. In response dual emission control traffic growth, it particularly important promote transportation. With acceleration urbanization, urban pollution becoming more serious. a zero-emission transportation mode, electric vehicles have key way achieve peak targets. order deeply analyze research status field explore hot spots, evolution trends, their roles strategies construction networks, this paper uses CiteSpace, VOSviewer, Tableau analysis tools review 2460 articles reviews Web Science Core Collection (WOS) 2650 National Knowledge Infrastructure (CNKI), including “publication volume publication trend”, “subject citation path”, “countries cooperation geographical distribution”, “author institution cooperation”, “keyword co-occurrence keywords clusters”, “evolution trend spots timeline”. The results show that: (1) Since 2010, on gradually increased, especially past three years, number such publications increased significantly. (2) holds lead output regarding related fields, but international needs be strengthened. (3) recent focused “energy transformation”, “energy-saving technology”, “carbon emissions”, “battery recycling”, other relevant topics. will continue usher new opportunities concerning technological innovation, policy support, market expansion. Finally, based trends China, discusses paths types looks future directions. can provide theoretical support practical guidance vehicles, build cities, realize It expected act as useful reference formulation academic research.

Language: Английский

Citations

0
Enhancing Sustainable Last-Mile Delivery: The Impact of Electric Vehicles and AI Optimization on Urban Logistics DOI Creative Commons
João C. Ferreira,

Marco Esperança

World Electric Vehicle Journal, Journal Year: 2025, Volume and Issue: 16(5), P. 242 - 242

Published: April 22, 2025

The rapid growth of e-commerce has intensified the need for efficient and sustainable last-mile delivery solutions in urban environments. This paper explores integration electric vehicles (EVs) artificial intelligence (AI) into a combined framework to enhance environmental, operational, economic performance logistics. Through comprehensive literature review, we examine current trends, technological developments, implementation challenges at intersection smart mobility, green logistics, digital transformation. We propose an operational that leverages AI route optimization, fleet coordination, energy management EV-based networks. is validated through real-world case study conducted Lisbon, Portugal, where logistics provider implemented city consolidation center model supported by AI-driven optimization tools. Using key indicators—including time, consumption, utilization, customer satisfaction, CO₂ emissions—we measure pre- post-AI deployment impacts. results demonstrate significant improvements across all metrics, including 15–20% reduction 10–25% gain efficiency, up 40% decrease emissions. findings confirm synergy between EVs provides robust scalable achieving supporting broader mobility climate objectives.

Language: Английский

Citations

0
Optimal placement of charging stations based on the charge scheduling optimization DOI
Shashank Kumar Jha, Sumit Kumar Jha, Pankaj Mishra

et al.

Intelligent Decision Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: May 22, 2025

Electric Vehicles (EVs) are increasing rapidly owing to their high performance, low maintenance and emission-free in the environment. The location of Charging Stations (CS) is very crucial popularisation EVs urban areas, which requires optimal charging infrastructures. Moreover, battery essential for at locations vehicle travel. Only specific areas suitable deploying EV stations (EVCS), increases waiting time distance EVs. Hence, proposed Tuna-Fish optimization (TFO) based charge scheduling scheme developed identify CS schedule EVs, reduces improves rate charged Real engineering problems benchmark functions evaluated this computation achieved perform output performance. TFO-based achieves efficient results 0.15 min average 29 a time, 24.4 km Distance 98.65 W remaining energy performed. This model compares various methods achieve better 50 100 150 performance enhances placement schedules

Language: Английский

Citations

0
Optimal Siting and Sizing of Electric Vehicle Energy Supplement Infrastructure in Highway Networks DOI Creative Commons
Ding Jin, Huayu Zhang, Bing Han

et al.

Inventions, Journal Year: 2023, Volume and Issue: 8(5), P. 117 - 117

Published: Sept. 15, 2023

The electric vehicle (EV) market is expanding rapidly to achieve the future goal of eco-friendly transportation. scientific planning energy supplement infrastructures (ESIs), with appropriate locations and capacity, imperative develop EV industry. In this research, a mixed integer linear programming (MILP) model proposed optimize location capacity ESIs, including charging stations (VCSs), battery swapping (BSSs), (BCSs), in highway networks. objective minimize total cost average waiting time for EVs being constrained. model, transportation behaviors are optimized such that can be reduced, queue service process estimated by M/M/1 model. Real-world data, i.e., from London M25 network system, used as case study test effectiveness method. results show considering more efficient, sensitive tolerance, cost, demand.

Language: Английский

Citations

2
Driving and Energy Profiles of Urban Bus Routes Predicted for Operation with Battery Electric Buses DOI Creative Commons
Zbigniew Czapla, Grzegorz Sierpiński

Energies, Journal Year: 2023, Volume and Issue: 16(15), P. 5706 - 5706

Published: July 31, 2023

Battery electric buses are used for operation on urban bus routes. The main disadvantage of battery is their limited range that depends energy consumption. This paper presents a new approach to the estimation consumption routes based driving and profiles. results from travel parameters along route. described by determination profiles GPS location data recorded receiver bus. Location at consecutive track points constant frequency. For each point, distance preceding point determined using data, then speed acceleration calculated. analyzed route divided into sections. section, consisting time, parameters, determined. Using estimated individual sections entire Experimental have been obtained selected under various traffic conditions. assumed model consumption, consumed 1.8 KWh/km off-peak hours 2.1 peak hours. describe well allow evaluation suitability with buses.

Language: Английский

Citations

1