16.7.2.5.6 Electric Vehicle Issues, Usage, Charging, Controls

Darabi, Z., Fajri, P., Ferdowsi, M.,
Intelligent Charge Rate Optimization of PHEVs Incorporating Driver Satisfaction and Grid Constraints,
ITS(18), No. 5, May 2017, pp. 1325-1332.
IEEE DOI 1705
Batteries, Customer satisfaction, Optimization, Plug-in hybrid electric vehicles, Smart grids, Charging rate, driver satisfaction, optimization model, plug-in hybrid electric vehicle, smart, grid BibRef

Qiu, L.H.[Li-Hong], Qian, L.J.[Li-Jun], Zomorodi, H.[Hesam], Pisu, P.[Pierluigi],
Global optimal energy management control strategies for connected four-wheel-drive hybrid electric vehicles,
IET-ITS(11), No. 5, June 2017, pp. 264-272.
DOI Link 1705
BibRef

Guo, L., Gao, B., Gao, Y., Chen, H.,
Optimal Energy Management for HEVs in Eco-Driving Applications Using Bi-Level MPC,
ITS(18), No. 8, August 2017, pp. 2153-2162.
IEEE DOI 1708
Energy management, Gears, Hybrid electric vehicles, Optimal control, Torque, Trajectory, Eco-driving, bi-level model predictive control, energy management, hybrid, electric, vehicles BibRef

Conway, T.,
On the Effects of a Routing and Reservation System on the Electric Vehicle Public Charging Network,
ITS(18), No. 9, September 2017, pp. 2311-2318.
IEEE DOI 1709
electric vehicle charging, Monte Carlo simulations, battery electric vehicles, electric vehicle public charging network, Resource management, Routing, Statistics, fault tolerance, BibRef

Kang, Q., Feng, S., Zhou, M., Ammari, A.C., Sedraoui, K.,
Optimal Load Scheduling of Plug-In Hybrid Electric Vehicles via Weight-Aggregation Multi-Objective Evolutionary Algorithms,
ITS(18), No. 9, September 2017, pp. 2557-2568.
IEEE DOI 1709
electric vehicle charging, ordered PHEV charging, Evolutionary computation, Optimization, load scheduling BibRef

Xie, H.M.[Hai-Ming], Tian, G.Y.[Guang-Yu], Chen, H.X.[Hong-Xu], Wang, J.[Jing], Huang, Y.[Yong],
A distribution density-based methodology for driving data cluster analysis: A case study for an extended-range electric city bus,
PR(73), No. 1, 2018, pp. 131-143.
Elsevier DOI 1709
Driving, conditions BibRef

Ognissanto, F.[Flora], Landen, T.[Torquil], Stevens, A.[Alan], Emre, M.[Mehmet], Naberezhnykh, D.[Denis],
Evaluation of the CO2 emissions pathway from hydrogen production to fuel cell car utilisation,
IET-ITS(11), No. 7, September 2017, pp. 360-367.
DOI Link 1710
BibRef

Gusrialdi, A., Qu, Z., Simaan, M.A.,
Distributed Scheduling and Cooperative Control for Charging of Electric Vehicles at Highway Service Stations,
ITS(18), No. 10, October 2017, pp. 2713-2727.
IEEE DOI 1710
Charging stations, Heuristic algorithms, Road transportation, Scheduling, Vehicles, Electric vehicles' charging, cooperative control, distributed consensus algorithm, dynamical systems, transportation, networks BibRef

Ahmadizadeh, P.[Pouyan], Mashadi, B.[Behrooz], Lodaya, D.[Dhaval],
Energy Management of a Dual-Mode Power-Split Powertrain Based on the Pontryagin's Minimum Principle,
IET-ITS(11), No. 9, November 2017, pp. 561-571.
DOI Link 1710
BibRef

Zhang, S., Luo, Y., Wang, J., Wang, X., Li, K.,
Predictive Energy Management Strategy for Fully Electric Vehicles Based on Preceding Vehicle Movement,
ITS(18), No. 11, November 2017, pp. 3049-3060.
IEEE DOI 1711
Acceleration, Batteries, Energy consumption, Energy management, Roads, Torque, Vehicle dynamics, Driving strategy, energy management, BibRef

Tseng, C.M., Chau, C.K.,
Personalized Prediction of Vehicle Energy Consumption Based on Participatory Sensing,
ITS(18), No. 11, November 2017, pp. 3103-3113.
IEEE DOI 1711
Collaboration, Data mining, Energy consumption, Ice, Roads, Sensors, Vehicles, Participatory sensing, data mining, distance-to-empty prediction, vehicle, energy, consumption BibRef

Rolim, C., Baptista, P., Duarte, G., Farias, T., Pereira, J.,
Real-Time Feedback Impacts on Eco-Driving Behavior and Influential Variables in Fuel Consumption in a Lisbon Urban Bus Operator,
ITS(18), No. 11, November 2017, pp. 3061-3071.
IEEE DOI 1711
Acceleration, Companies, Fuels, Performance evaluation, Real-time systems, Training, Vehicles, Driving behavior, feedback, fuel consumption, on-board monitoring, urban, buses BibRef

Cocron, P., Bühler, F., Neumann, I., Franke, T., Krems, J.F., Schwalm, M., Keinath, A.,
Methods of evaluating electric vehicles from a user's perspective: The MINI E field trial in Berlin,
IET-ITS(5), No. 2, June 2011, pp. 127-133.
DOI Link 1712
Award, IET IPR Premium. BibRef

Chau, C.K., Elbassioni, K., Tseng, C.M.,
Drive Mode Optimization and Path Planning for Plug-In Hybrid Electric Vehicles,
ITS(18), No. 12, December 2017, pp. 3421-3432.
IEEE DOI 1712
Batteries, Combustion, Electric motors, Fuels, Internal combustion engines, Optimization, plug-in hybrid electric vehicles BibRef

Gu, Y., Liu, M., Naoum-Sawaya, J., Crisostomi, E., Russo, G., Shorten, R.,
Pedestrian-Aware Engine Management Strategies for Plug-In Hybrid Electric Vehicles,
ITS(19), No. 1, January 2018, pp. 92-101.
IEEE DOI 1801
Engines, Fuels, Optimization, Pollution, Roads, Switches, Vehicles, Plug-in hybrid electric vehicles (PHEVs), engine management, robust optimisation BibRef

Akhegaonkar, S., Nouvelière, L., Glaser, S., Holzmann, F.,
Smart and Green ACC: Energy and Safety Optimization Strategies for EVs,
SMCS(48), No. 1, January 2018, pp. 142-153.
IEEE DOI 1801
Batteries, Engines, Gears, Hybrid electric vehicles, Safety, Synchronous motors, Autonomous vehicle control, electric vehicle, vehicle safety BibRef

Hu, C., Wang, R., Yan, F., Huang, Y., Wang, H., Wei, C.,
Differential Steering Based Yaw Stabilization Using ISMC for Independently Actuated Electric Vehicles,
ITS(19), No. 2, February 2018, pp. 627-638.
IEEE DOI 1802
Adaptation models, Electric vehicles, Steering systems, Tires, Transient analysis, Vehicle dynamics, Wheels, Electric vehicles, transient control BibRef

Cao, Y., Wang, T., Kaiwartya, O., Min, G., Ahmad, N., Abdullah, A.H.,
An EV Charging Management System Concerning Drivers' Trip Duration and Mobility Uncertainty,
SMCS(48), No. 4, April 2018, pp. 596-607.
IEEE DOI 1804
Batteries, Cascading style sheets, Decision making, Road transportation, Uncertainty, Urban areas, Vehicles, mobility uncertainty BibRef

Zhang, D., Wang, L.Y., Jiang, J., Zhang, W.,
Optimal Power Management in DC Microgrids With Applications to Dual-Source Trolleybus Systems,
ITS(19), No. 4, April 2018, pp. 1188-1197.
IEEE DOI 1804
Convergence, Information exchange, Microgrids, Optimization, Power supplies, Robustness, DC microgrid, distributed control, power loss BibRef

Tobar, F.[Felipe], Castro, I.[Iván], Silva, J.[Jorge], Orchard, M.[Marcos],
Improving battery voltage prediction in an electric bicycle using altitude measurements and kernel adaptive filters,
PRL(105), 2018, pp. 200-206.
Elsevier DOI 1804
Learning and adaptive systems, Kernel adaptive filter, Kernel methods, Data-driven prediction, Signal processing, Electric transportation BibRef

Xu, Q.L.[Quan-Li], Yang, K.[Kun], Peng, S.Y.[Shuang-Yun], Hong, L.[Liang],
A Distance-Adaptive Refueling Recommendation Algorithm for Self-Driving Travel,
IJGI(7), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Tian, H., Wang, X., Lu, Z., Huang, Y., Tian, G.,
Adaptive Fuzzy Logic Energy Management Strategy Based on Reasonable SOC Reference Curve for Online Control of Plug-in Hybrid Electric City Bus,
ITS(19), No. 5, May 2018, pp. 1607-1617.
IEEE DOI 1805
Batteries, Electric machines, Energy management, Engines, Fuels, Fuzzy logic, State of charge, partial trip information BibRef

Hwang, I., Jang, Y.J., Ko, Y.D., Lee, M.S.,
System Optimization for Dynamic Wireless Charging Electric Vehicles Operating in a Multiple-Route Environment,
ITS(19), No. 6, June 2018, pp. 1709-1726.
IEEE DOI 1806
Batteries, Electric vehicles, Inductive charging, Optimization, Resource management, Roads, Vehicle dynamics, particle swarm optimization BibRef

Yang, C., Lou, W., Yao, J., Xie, S.,
On Charging Scheduling Optimization for a Wirelessly Charged Electric Bus System,
ITS(19), No. 6, June 2018, pp. 1814-1826.
IEEE DOI 1806
Batteries, Companies, Electricity supply industry, Optimization, Power grids, Scheduling, Transmitters, wirelessly charged electric bus BibRef

Nie, Y., Wang, X., Cheng, K.W.E.,
Multi-Area Self-Adaptive Pricing Control in Smart City With EV User Participation,
ITS(19), No. 7, July 2018, pp. 2156-2164.
IEEE DOI 1807
Energy consumption, Power grids, Pricing, Smart cities, State of charge, Transportation, Electric vehicle, MASA pricing, user behavior BibRef

Ko, H., Pack, S., Leung, V.C.M.,
Mobility-Aware Vehicle-to-Grid Control Algorithm in Microgrids,
ITS(19), No. 7, July 2018, pp. 2165-2174.
IEEE DOI 1807
Batteries, Markov processes, Mathematical model, Microgrids, State of charge, Vehicle-to-grid, Markov decision process (MDP), reinforcement learning (RL) BibRef

Yu, J.J.Q., Lam, A.Y.S.,
Autonomous Vehicle Logistic System: Joint Routing and Charging Strategy,
ITS(19), No. 7, July 2018, pp. 2175-2187.
IEEE DOI 1807
Autonomous vehicles, Logistics, Power system stability, Routing, Smart cities, Autonomous vehicle, logistics system, smart city, vehicle routing BibRef

Korkas, C.D., Baldi, S., Yuan, S., Kosmatopoulos, E.B.,
An Adaptive Learning-Based Approach for Nearly Optimal Dynamic Charging of Electric Vehicle Fleets,
ITS(19), No. 7, July 2018, pp. 2066-2075.
IEEE DOI 1807
Aerospace electronics, Aggregates, Batteries, Charging stations, Optimal control, Optimization, Pricing, Electric vehicles, charging optimization BibRef

Calvillo, C.F., Sánchez-Miralles, Á., Villar, J.,
Synergies of Electric Urban Transport Systems and Distributed Energy Resources in Smart Cities,
ITS(19), No. 8, August 2018, pp. 2445-2453.
IEEE DOI 1808
Batteries, Load modeling, Mathematical model, Electric vehicles, Load management, Substations, Energy resources, Demand response, smart city BibRef

Xiong, Y., Gan, J., An, B., Miao, C., Bazzan, A.L.C.,
Optimal Electric Vehicle Fast Charging Station Placement Based on Game Theoretical Framework,
ITS(19), No. 8, August 2018, pp. 2493-2504.
IEEE DOI 1808
Charging stations, Vehicles, Optimization, Games, Oceans, Roads, Urban areas, Electric vehicle charging station, congestion game, facility placement BibRef

Sautermeister, S., Falk, M., Bäker, B., Gauterin, F., Vaillant, M.,
Influence of Measurement and Prediction Uncertainties on Range Estimation for Electric Vehicles,
ITS(19), No. 8, August 2018, pp. 2615-2626.
IEEE DOI 1808
Uncertainty, Batteries, Estimation, Vehicles, Mechanical power transmission, Predictive models, Resistance, energy prediction BibRef

Pourazarm, S., Cassandras, C.G.,
Optimal Routing of Energy-Aware Vehicles in Transportation Networks With Inhomogeneous Charging Nodes,
ITS(19), No. 8, August 2018, pp. 2515-2527.
IEEE DOI 1808
Routing, Charging stations, Transportation, Batteries, Nonhomogeneous media, Energy consumption, Optimization, game theory BibRef

Zhu, M., Liu, X., Wang, X.,
Joint Transportation and Charging Scheduling in Public Vehicle Systems: A Game Theoretic Approach,
ITS(19), No. 8, August 2018, pp. 2407-2419.
IEEE DOI 1808
Transportation, Smart grids, Games, Batteries, Pricing, Real-time systems, Cloud computing, Public vehicle systems, cake cutting game BibRef

Islam, M.M.[Md. Mainul], Shareef, H.[Hussain], Mohamed, A.[Azah],
Optimal location and sizing of fast charging stations for electric vehicles by incorporating traffic and power networks,
IET-ITS(12), No. 8, October 2018, pp. 947-957.
DOI Link 1809
BibRef

Zhang, K., Mao, Y., Leng, S., He, Y., Maharjan, S., Gjessing, S., Zhang, Y., Tsang, D.H.K.,
Optimal Charging Schemes for Electric Vehicles in Smart Grid: A Contract Theoretic Approach,
ITS(19), No. 9, September 2018, pp. 3046-3058.
IEEE DOI 1809
Contracts, Charging stations, Electric vehicle charging, Queueing analysis, Quality of service, Smart grids, Economics, admission control BibRef

Genikomsakis, K.N., Gutierrez, I.A.[I. Angulo], Thomas, D., Ioakimidis, C.S.,
Simulation and Design of Fast Charging Infrastructure for a University-Based e-Carsharing System,
ITS(19), No. 9, September 2018, pp. 2923-2932.
IEEE DOI 1809
Batteries, Charging stations, Automobiles, State of charge, Urban areas, MATLAB, Electric vehicles, battery chargers, transportation BibRef

Rigas, E.S.[Emmanouil S.], Ramchurn, S.D.[Sarvapali D.], Bassiliades, N.[Nick],
Algorithms for electric vehicle scheduling in large-scale mobility-on-demand schemes,
AI(262), 2018, pp. 248-278.
Elsevier DOI 1809
Mixed integer programming, Heuristic search, Local search, Max-flow, Electric vehicles, Shared vehicles, Mobility on demand BibRef

Doan, V., Fujimoto, H., Koseki, T., Yasuda, T., Kishi, H., Fujita, T.,
Allocation of Wireless Power Transfer System From Viewpoint of Optimal Control Problem for Autonomous Driving Electric Vehicles,
ITS(19), No. 10, October 2018, pp. 3255-3270.
IEEE DOI 1810
Batteries, Resource management, Optimization, Optimal control, Electric vehicles, Vehicle dynamics, Roads, Dynamic charging, probability & statistics BibRef

Jeon, M.[Myounghoon], Riener, A.[Andreas], Sterkenburg, J.[Jason], Lee, J.H.[Ju-Hwan], Walker, B.N.[Bruce N.], Alvarez, I.[Ignacio],
An International Survey on Automated and Electric Vehicles: Austria, Germany, South Korea, and USA,
DHM18(579-587).
Springer DOI 1807
BibRef

Bari, Z., Ben Yakhlef, M.,
A MAS based energy-coordination for decentralized control of the hybrid electrical system,
ISCV17(1-6)
IEEE DOI 1710
Batteries, Biological system modeling, Load modeling, Mathematical model, Photovoltaic systems, Production, Behavior modeling, Complex system, Hybrid Electrical System, Multi, Agent, System BibRef

Alaoui, C., Zineddine, M., Nourddin, S.,
Towards the implementation of refurbished ev lithium-ion batteries for smart grid energy storage,
ISCV17(1-5)
IEEE DOI 1710
battery powered vehicles, smart power grids, peak demand, smart grid energy storage. BibRef

Ameur, C., Faquir, S., Yahyaouy, A., Sabri, M.A.,
An approach for revising a fuzzy logic controller using Q-learning algorithm,
ISCV17(1-6)
IEEE DOI 1710
electric potential, energy management systems, energy storage, fuzzy control, learning systems, power transmission lines, BibRef

Xu, J.[Jie], Gao, M.Y.[Ming-Yu], He, Z.W.[Zhi-Wei], Han, Q.J.[Quan-Jun], Wang, X.G.[Xu-Guang],
State of Charge Estimation Online Based on EKF-Ah Method for Lithium-Ion Power Battery,
CISP09(1-5).
IEEE DOI 0910
BibRef

Amrani, R.E., Yahyaouy, A., Tairi, H.,
Hybrid strategy based on MAS for an intelligent energy management: Application to an electric vehicle,
ISCV17(1-8)
IEEE DOI 1710
Batteries, Energy management, Fuzzy logic, Genetic algorithms, Resistance, State of charge, Supercapacitors, LMP battery, electric vehicle, energy management, fuzzy control, genetic optimization, hybrid strategy, multi-agent system, super-capacitor BibRef

Song, W.C.,
Aggregator operations considering authentication for electrical charging of EVs,
ICCVIA15(1-4)
IEEE DOI 1603
battery powered vehicles BibRef

Flasinski, M.[Mariusz], Jurek, J.[Janusz], Peszek, T.[Tomasz],
Time Series Prediction for Electric Power Industry with the Help of Syntactic Pattern Recognition,
ICCVG16(555-563).
Springer DOI 1611
BibRef

Karimtabar, N., Pasban, S., Alipour, S.,
Analysis and predicting electricity energy consumption using data mining techniques: A case study I.R. Iran - Mazandaran province,
IPRIA15(1-6)
IEEE DOI 1603
data mining BibRef

Faquir, S., Yahyaouy, A., Tairi, H., Sabor, J.,
A type-1 fuzzy logic algorithm to manage the flow of energy in a stand-alone PV/wind/battery hybrid system,
ISCV15(1-6)
IEEE DOI 1506
air pollution control BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Ramp Controls, Highway Traffic Control .

Last update:Oct 15, 2018 at 09:19:25