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

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

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

Last update:Jun 14, 2018 at 16:13:32