Related references
Note: Only part of the references are listed.
Article
Transportation Science & Technology
Jinhua Ji et al.
Summary: To address the shortage of charging facilities for electric cars (ECs) and maximize the utilization of charging facilities for electric buses (EBs), a charging facility sharing strategy is proposed. This strategy allows ECs to use EBs' charging piles for a fee during specific time windows. A nonlinear integer programming model is developed to determine the vehicle types allowed to be charged in each time window, allocate daily service trips and charging trips to each EB, and optimize the overall costs and revenues. An algorithm combining enumeration method and branch and price is used to solve the optimization model. The proposed method is verified using a real EB route, demonstrating its effectiveness in increasing revenue for public transit companies and facilitating EC charging without disrupting EB schedules.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Economics
Ziling Zeng et al.
Summary: The study proposes an optimal electric bus charge scheduling model that addresses the grid and battery issues while ensuring the original bus schedules. The results show that the optimal schedule achieves a balanced distribution of charging demand.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Multidisciplinary Sciences
Yan Ma et al.
Summary: This article proposes an efficient and energy-saving thermal management strategy for lithium-ion batteries, which is optimized using a lumped thermal model and an iterative dynamic programming method. Simulation results demonstrate that the strategy performs well in cooling efficiency and energy saving.
ADVANCED THEORY AND SIMULATIONS
(2022)
Article
Electrochemistry
Zhenhai Gao et al.
Summary: In this paper, the impact of fast charging on lithium-ion batteries (LIBs) in low-temperature environments is systematically analyzed, and the competition between low temperature and C-rate on capacity degradation is investigated. The study reveals the reasons for rapid degradation of LIBs under low temperatures and proposes a lithium-free control method. The average aging rate of LIBs and the abnormal attenuation of cycle life at lower C-rates are also studied. The optimal fast strategy for LIBs under various conditions is explored, providing useful guidance for the development of high-performance battery management systems.
Article
Thermodynamics
Yiming Bie et al.
Summary: This study aims to develop a daily HVAC operation planning model for an electric bus to maximize passenger thermal comfort. By developing estimation and planning models and validating them through a field case study, the results show that passenger thermal comfort can be improved in different seasons.
Article
Environmental Studies
Yi He et al.
Summary: This study proposes a two-phase optimization framework for charging infrastructure planning and charging scheduling for battery electric bus systems. The integrated optimization model and rolling horizon approach can reduce system cost and charging cost.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Energy & Fuels
Suyash Vikram et al.
Summary: The performance of an electric vehicle is greatly influenced by the thermal management of the battery pack. This study investigates the thermal behavior of a Li-ion battery pack and the performance of a liquid-based battery thermal management system using different coolants for different drive cycles. The results show that increasing ambient temperature leads to longer cooling time and higher energy consumption by the liquid-based thermal management system.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Transportation
Jinhua Ji et al.
Summary: This study developed a trip energy consumption estimation model for electric bus fleet planning, operation, and life-cycle assessment. Real-world data from 31 electric buses operating in Jilin Province, China were collected to consider the effects of temperature variations. The model accurately estimated the energy consumption of the traction and battery thermal management system, as well as the air conditioner system, demonstrating its usefulness for fleet scheduling.
COMMUNICATIONS IN TRANSPORTATION RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Heze You et al.
Summary: This paper utilizes an advanced multi-factors coupling aging model and bi-objective PSO algorithm to derive the optimal low-temperature charging strategy for Lithium-ion batteries, considering both battery health and charging time objectives. The strategy achieves a desirable balance between charging speed and battery health under low-temperature charging conditions.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Physics, Multidisciplinary
Sergio Luiz Eduardo Ferreira da Silva
Summary: Research shows that NLC based on generalized statistics outperforms classical NLC in cooling analysis, paving the way for a new approach to cooling properties analysis.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Economics
Le Zhang et al.
Summary: This study addresses the battery electric bus service and charging strategy problem using a tailored branch-and-price approach with set partitioning models and multi-label correcting methods. Experimental results show significant cost savings and improved scheduling efficiency for transit operators when implementing the optimization model.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Green & Sustainable Science & Technology
Yiming Bie et al.
Summary: Electric buses, with zero emissions, are replacing traditional fuel buses as a trend in the automobile industry for sustainable development. A combination of all-stop and short-turning service for electric buses is proposed to improve transit attractiveness, while a combinational charging strategy helps reduce electricity costs. Using the branch-and-price algorithm, the results show a 13.5% reduction in total time cost compared to all-stop scheduling.
Article
Computer Science, Interdisciplinary Applications
Yiming Bie et al.
Summary: This paper presents a method for vehicle scheduling on electric bus routes considering stochastic volatilities in trip energy consumption and travel time. By optimizing the scheduling plan, reasonable idle times can be generated to help stop the accumulation of stochastic volatilities. Collaboratively optimizing vehicle scheduling and charging plans can reduce fleet size and delays while meeting operational needs.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2021)
Article
Energy & Fuels
Balint Csonka
Summary: The adoption of electric buses in public transport requires careful planning for the bus fleet and charging infrastructure. A mathematical model was developed to support the deployment of charging infrastructure. The study found that static chargers are more favorable when the cost is lower and the charging power is three times greater than dynamic chargers of a certain length.
Proceedings Paper
Computer Science, Artificial Intelligence
Hao Hu et al.
Summary: This study presents the integrated problem of vehicle scheduling and charging scheduling in electric bus fleet operation, with a genetic algorithm based heuristic approach proposed to solve the optimization problem. The results show that proper charging scheduling can reduce energy consumption, deadhead trips, and ensure completion of all assigned trips.
2021 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC)
(2021)
Article
Engineering, Civil
Ruilong Deng et al.
Summary: In recent years, electrification of transportation, particularly electric buses (EBs), has gained significant attention due to its potential to reduce metropolitan air pollution caused by fossil fuel-powered vehicles. EBs, powered by decarbonized electricity, offer benefits such as reduced air pollution and noise levels, as well as the ability to recover electricity from regenerative braking. Ongoing research focuses on energy storage, power management, and charging scheduling for EBs, with future opportunities including extending research from electric vehicles (EVs) to EBs, modeling EB charging demand, and studying EB impacts on power systems.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Thermodynamics
Yan Ma et al.
Article
Economics
Yi He et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2020)
Article
Chemistry, Physical
Aniruddha Jana et al.
JOURNAL OF POWER SOURCES
(2019)
Article
Chemistry, Multidisciplinary
Amra Jahic et al.
APPLIED SCIENCES-BASEL
(2019)
Article
Energy & Fuels
Adnane Houbbadi et al.
Article
Economics
Alejandro Montoya et al.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2017)
Article
Economics
Yusheng Wang et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2017)
Article
Energy & Fuels
Bwo-Ren Ke et al.
Article
Energy & Fuels
Huajie Ding et al.
Article
Chemistry, Physical
K. Shah et al.
JOURNAL OF POWER SOURCES
(2014)
Article
Chemistry, Physical
Jingzhi Xun et al.
JOURNAL OF POWER SOURCES
(2013)
Article
Thermodynamics
Xiao Wei Zhao et al.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2011)
Article
Computer Science, Artificial Intelligence
ZL Guo et al.
PATTERN RECOGNITION LETTERS
(2006)