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Editorial

Research Progress on Electric and Intelligent Vehicles

by
Rui Xiong
1,*,
Suleiman M. Sharkh
2 and
Xi Zhang
3
1
National Engineering Laboratory for Electric Vehicles, Department of Vehicle Engineering, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
2
Engineering and the Environment, University of Southampton, Highfield, Southampton SO17 1BJ, UK
3
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
*
Author to whom correspondence should be addressed.
Energies 2018, 11(7), 1762; https://doi.org/10.3390/en11071762
Submission received: 16 June 2018 / Accepted: 25 June 2018 / Published: 4 July 2018
(This article belongs to the Special Issue The International Symposium on Electric Vehicles (ISEV2017))
Versions Notes

Abstract

:
This editorial summarizes the content of the Special Issue entitled “The International Symposium on Electric Vehicles (ISEV2017)”, which was published in MDPI’s Energies journal. The Special Issue was compiled in 2017 and accepted a total of 26 papers. Lithium-ion battery, energy management of electric vehicles, and motor control in electric vehicles were the most discussed topics, introducing brand new methods with very sound results.

Electric vehicles (EVs) have gained heavy investment in many countries to reduce petroleum usage and ease air pollution. However, the usage of EVs is still limited to the current techniques of lithium-ion batteries and energy management [1,2].
This Special Issue has focused on electric vehicles and their applications, which are related to all kinds of energy storage and management fields, including lithium-ion batteries, motor control, wireless charging, and so on.
Authors were invited to submit their original research and review articles exploring the issues and applications of electric vehicles.
The topics of primary interest included, but were not limited to:
(1)
Power Electronics and Electric Motor Drives
(2)
Electric Machines and Actuators
(3)
Thermal Management, Packing, and Optimization for Traction Drive Systems
(4)
Battery, Battery Management, Charging Systems and Infrastructures
(5)
Electric, Hybrid Electric, and Plug-in Hybrid Electric Vehicle System Architectures
(6)
Connected and Automated Vehicles, Smart Mobility, and Vehicle Security
(7)
Smart Grid, Electrical Infrastructure, and V2G
(8)
Wireless power transfer for electric vehicles
(9)
Electrification of Heavy-Duty and Off-Road Vehicles
(10)
Modeling, Simulation, and Control
(11)
Design optimization for vehicle structures
(12)
Codes, Standards, Policies, and Regulations for Transportation Electrification.
Of all the submissions received, only those with very high-quality scientific content and innovativeness were accepted, after a rigorous peer review. A total of 26 papers were accepted.
The lithium-ion battery has been investigated broadly, including battery fault diagnosis [3], parameter identification, and state of charge estimation [4,5,6]. Recently, the battery thermal management has been a research focus. Zhang et al. [7] developed an enhanced battery thermal management system including a modified cooling structure and a control unit to improve battery temperature-based performance. Wu et al. [8] investigated the heat problems that occur during the operation of power batteries, especially thermal runaway, which usually takes place in high-temperature environments. The study was conducted on a ternary polymer lithium-ion battery.
Many researchers have investigated advanced motor control methods in electric vehicles. Song et al. [9] proposed a novel direct torque control method based on a sliding mode control strategy for permanent magnet synchronous motors used in EVs. Su et al. [10] proposed an improved continuous-time model predictive control of permanent magnetic synchronous motors for a wide speed range. Cao et al. [11] dealt with the speed synchronization control of integrated motor–transmission powertrain systems in pure EVs. In their paper [12], Huang et al. focused on the problem of insufficient propulsion motor power during high-speed steering. Zhao et al. [13] proposed a practical dual motor equipped with a four-speed Automated Manual Transmission (AMT) propulsion system to eliminate the traction interruption in conventional AMT.
Two papers focused on wireless charging of EVs, including Yang et al. [14], who designed a 6.6 KW wireless charging system for EVs, and Zhang et al. [15], who proposed a dead time soft switching optimization method for metal–oxide-semiconductor field-effect transistors. Hybrid EVs have also been a research focus in this Special Issue. Hong et al. [16] conducted an investigation to assess the influence of the high-efficiency engine on the transmission gear numbers. Xu et al. [17] investigated an electric variable transmission for hybrid electric vehicles (HEVs). He et al. [18] presented a freeway driving cycle construction method based on traffic information for plug-in HEVs. Zhao et al. [19] presented a hydraulic–electric synergy powertrain with multiple working modes to reduce fossil fuel consumption in alternative hybrid powertrains.
Other research studies include improving vehicle ride comfort by controlling an in-wheel vibration absorber [20] and suppressing the in-wheel vibration [21], the accurate control of EV height adjustment [22], a load control method for fast charging [23], and the development of an auxiliary power-integrated system for a range-extended EV [24]. Li et al. [25] introduced a new dynamical trajectory-planning method based on the Adaptive Control of Thought-Rational cognitive model to realize an active obstacle avoidance system that can drive a vehicle smoothly and without collision in complex road situations. Zhang et al. [26] focused on the performance of centrifugal compressors for vehicle turbochargers operating at high altitude. Nie et al. [27] proposed a hierarchical control method to actively control vehicle deceleration with active-brake actuators, while Wu et al. [28] proposed a human–machine-cooperative-driving controller with a hierarchical structure for vehicle dynamic stability.
Besides, the importance of the multi-states estimation of lithium-ion batteries and energy management of EVs [29,30] to further improve the usage of EVs was also discussed.

Editorial Record

Recommended by EditorManuscript Title
Suleiman M SharkhDesign Optimization of an Electric Variable Transmission for Hybrid Electric Vehicles
Tomonobu SenjyuA Power Coupling System for Electric Tracked Vehicles during High-Speed Steering with Optimization-Based Torque Distribution Control
Giovanni EspositoControl strategy for vehicle inductive wireless charging based on load adaptive and frequency adjustment
Suleiman M SharkhLong-Term Battery Voltage, Power and Surface Temperature Prediction Using Model Based Extreme Learning Machine
Suleiman M SharkhResearch on a Novel Hydraulic/Electric Synergy Bus
Michael Gerard PechtEffect on vehicle turbocharger exhaust gas energy utilization for plateau centrifugal compressor performance
Suleiman M SharkhUnified brake service by a hierarchical controller for active deceleration control in an electric and automated vehicle
Suleiman M SharkhAn Improved Continuous-time Model Predictive Control of Permanent Magnetic Synchronous Motors for a Wide-speed Range
Rui XiongDesign of optimum heat transfer coefficient and model of temperature rise for Harbin bus cycles
Michael Gerard PechtArchitecture optimization of hybrid electric vehicles with future high-efficiency engine
Xi ZhangHeight Adjustment of Electric Vehicle Based on Static Equilibrium Position State Observation Algorithm
Tomonobu SenjyuA Novel Direct Torque Control Method Based on Asymmetric Boundary Layer Sliding Mode Control for PMSM
Suleiman M SharkhWavelet Based Denoising for the Estimation of the State of Charge for Lithium-ion Batteries
Izumi TaniguchiStudy on Battery Thermal Management System Based on Thermoelectric Effect
Chunhua LiuApplication-oriented Optimal Shift Schedule Extraction for a Dual-Motor Electric Bus with Automated Manual Transmission
Rui XiongA Bi-Level Optimization Approach to Charging Load Regulation of Electric Vehicle Fast Charging Stations Based on a Battery Energy Storage System
Michael Gerard PechtStudy on auxiliary power unit integrated system design and test application
Rui XiongIntegration Design and Optimization Control of a Dynamic Vibration Absorber for Electric Wheels with In-wheel Motor
Rui XiongUsing SOC operation interval online correction method to improve the cycle life of electric boat powered by NI-MH battery
Rui XiongEntropy-Based Voltage Fault Diagnosis of Battery System for Electric Vehicles
K.T. ChauAct-R Cognitive Model Based Trajectory Planning Method Study for Electric Vehicle’s Active Obstacle Avoidance System
Suleiman M SharkhFreeway Driving Cycle Construction Based on Real-time Traffic Information and Global Optimal Energy Management for Plug-in Hybrid Electric Vehicle
Michael Gerard PechtSpeed synchronization control of the integrated motor-transmission powertrain over CAN through active period-scheduling approach
Rui XiongRide Comfort Optimization of In-Wheel-Motor Electric Vehicle with In-Wheel Vibration Absorber
Rui XiongA Human-Machine-Cooperative-Driving Control Scheme based on AFS and DYC for Vehicle Dynamic Stability
Michael Gerard PechtSwitching Device Dead Time Optimization of Resonant Double-Sided LCC Wireless Charging System for Electric Vehicles

Funding

This research was funded by National Natural Science Foundation of China grant number 51507012, and funded by Beijing Municipal Natural Science Foundation grant number 3182035. The APC was funded by Beijing Municipal Natural Science Foundation.

Acknowledgments

Guest editors would like to express their sincerest gratitude to Energies’ in-house editor and reviewers for their wonderful work and effort.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Zhang, Y.; Xiong, R.; He, H.; Pecht, M. Long short-term memory recurrent neural network for remaining useful life prediction of lithium-ion batteries. IEEE Trans. Veh. Technol. 2018. [Google Scholar] [CrossRef]
  2. Zhang, Y.; Xiong, R.; He, H.; Pecht, M. Lithium-ion battery remaining useful life prediction with Box–Cox transformation and Monte Carlo simulation. IEEE Trans. Ind. Electron. 2018. [Google Scholar] [CrossRef]
  3. Liu, P.; Sun, Z.; Wang, Z.; Zhang, J. Entropy-Based Voltage Fault Diagnosis of Battery Systems for Electric Vehicles. Energies 2018, 11, 136. [Google Scholar] [CrossRef]
  4. Wang, X.; Xu, J.; Zhao, Y. Wavelet Based Denoising for the Estimation of the State of Charge for Lithium-Ion Batteries. Energies 2018, 11, 1144. [Google Scholar] [CrossRef]
  5. Meng, B.; Wang, Y.; Mao, J.; Liu, J.; Xu, G.; Dai, J. Using SoC Online Correction Method Based on Parameter Identification to Optimize the Operation Range of NI-MH Battery for Electric Boat. Energies 2018, 11, 586. [Google Scholar] [CrossRef]
  6. Tang, X.; Yao, K.; Liu, B.; Hu, W.; Gao, F. Long-Term Battery Voltage, Power, and Surface Temperature Prediction Using a Model-Based Extreme Learning Machine. Energies 2018, 11, 86. [Google Scholar] [CrossRef]
  7. Zhang, C.; Xu, K.; Li, L.; Yang, M.; Gao, H.; Chen, S. Study on a Battery Thermal Management System Based on a Thermoelectric Effect. Energies 2018, 11, 279. [Google Scholar]
  8. Wu, X.; Lv, S.; Chen, J. Determination of the Optimum Heat Transfer Coefficient and Temperature Rise Analysis for a Lithium-Ion Battery under the Conditions of Harbin City Bus Driving Cycles. Energies 2017, 10, 1723. [Google Scholar] [CrossRef]
  9. Song, Q.; Li, Y.; Jia, C. A Novel Direct Torque Control Method Based on Asymmetric Boundary Layer Sliding Mode Control for PMSM. Energies 2018, 11, 657. [Google Scholar]
  10. Su, D.; Zhang, C.; Dong, Y. An Improved Continuous-Time Model Predictive Control of Permanent Magnetic Synchronous Motors for a Wide-Speed Range. Energies 2017, 10, 2051. [Google Scholar] [CrossRef]
  11. Cao, W.; Liu, H.; Lin, C.; Chang, Y.; Liu, Z.; Szumanowski, A. Speed Synchronization Control of Integrated Motor–Transmission Powertrain over CAN through Active Period-Scheduling Approach. Energies 2017, 10, 1831. [Google Scholar] [CrossRef]
  12. Huang, H.; Zhai, L.; Wang, Z. A Power Coupling System for Electric Tracked Vehicles during High-Speed Steering with Optimization-Based Torque Distribution Control. Energies 2018, 11, 1538. [Google Scholar] [CrossRef]
  13. Zhao, M.; Shi, J.; Lin, C.; Zhang, J. Application-Oriented Optimal Shift Schedule Extraction for a Dual-Motor Electric Bus with Automated Manual Transmission. Energies 2018, 11, 325. [Google Scholar] [CrossRef]
  14. Yang, S.; Yan, X.; He, H.; Yang, P.; Peng, Z.; Cui, H. Control Strategy for Vehicle Inductive Wireless Charging Based on Load Adaptive and Frequency Adjustment. Energies 2018, 11, 1222. [Google Scholar] [CrossRef]
  15. Zhang, X.; Lai, Z.; Xiong, R.; Li, Z.; Zhang, Z.; Song, L. Switching Device Dead Time Optimization of Resonant Double-Sided LCC Wireless Charging System for Electric Vehicles. Energies 2017, 10, 1772. [Google Scholar] [CrossRef]
  16. Hong, J.; Zhao, L.; Lei, Y.; Gao, B. Architecture Optimization of Hybrid Electric Vehicles with Future High-Efficiency Engine. Energies 2018, 11, 1148. [Google Scholar] [CrossRef]
  17. Xu, Q.; Sun, J.; Wang, W.; Mao, Y.; Cui, S. Design Optimization of an Electric Variable Transmission for Hybrid Electric Vehicles. Energies 2018, 11, 1118. [Google Scholar] [CrossRef]
  18. He, H.; Guo, J.; Zhou, N.; Sun, C.; Peng, J. Freeway Driving Cycle Construction Based on Real-Time Traffic Information and Global Optimal Energy Management for Plug-In Hybrid Electric Vehicles. Energies 2017, 10, 1796. [Google Scholar] [CrossRef]
  19. Zhao, K.; Liang, Z.; Huang, Y.; Wang, H.; Khajepour, A.; Zhen, Y. Research on a Novel Hydraulic/Electric Synergy Bus. Energies 2018, 11, 34. [Google Scholar] [CrossRef]
  20. Liu, M.; Gu, F.; Zhang, Y. Ride Comfort Optimization of In-Wheel-Motor Electric Vehicles with In-Wheel Vibration Absorbers. Energies 2017, 10, 1647. [Google Scholar] [CrossRef]
  21. Liu, M.; Gu, F.; Huang, J.; Wang, C.; Cao, M. Integration Design and Optimization Control of a Dynamic Vibration Absorber for Electric Wheels with In-Wheel Motor. Energies 2017, 10, 2069. [Google Scholar] [CrossRef]
  22. Gao, Z.; Chen, S.; Zhao, Y.; Nan, J. Height Adjustment of Vehicles Based on a Static Equilibrium Position State Observation Algorithm. Energies 2018, 11, 455. [Google Scholar] [CrossRef]
  23. Bao, Y.; Luo, Y.; Zhang, W.; Huang, M.; Wang, L.; Jiang, J. A Bi-Level Optimization Approach to Charging Load Regulation of Electric Vehicle Fast Charging Stations Based on a Battery Energy Storage System. Energies 2018, 11, 229. [Google Scholar] [CrossRef]
  24. Zhang, H.; Xing, Z.; Song, J.; Yang, Q. Development and Test Application of an Auxiliary Power-Integrated System. Energies 2018, 11, 187. [Google Scholar] [CrossRef]
  25. Li, A.; Zhao, W.; Wang, X.; Qiu, X. ACT-R Cognitive Model Based Trajectory Planning Method Study for Electric Vehicle’s Active Obstacle Avoidance System. Energies 2018, 11, 75. [Google Scholar] [CrossRef]
  26. Zhang, H.; Zhang, H.; Wang, Z. Effect on Vehicle Turbocharger Exhaust Gas Energy Utilization for the Performance of Centrifugal Compressors under Plateau Conditions. Energies 2017, 10, 2121. [Google Scholar] [CrossRef]
  27. Nie, Y.; Liu, Y.; Cheng, S.; Mei, M.; Xiao, L. Unified Brake Service by a Hierarchical Controller for Active Deceleration Control in an Electric and Automated Vehicle. Energies 2017, 10, 2052. [Google Scholar] [CrossRef]
  28. Wu, J.; Cheng, S.; Liu, B.; Liu, C. A Human-Machine-Cooperative-Driving Controller Based on AFS and DYC for Vehicle Dynamic Stability. Energies 2017, 10, 1737. [Google Scholar] [CrossRef]
  29. Xiong, R.; Cao, J.Y.; Yu, Q.Q. Reinforcement learning-based real-time power management for hybrid energy storage system in the plug-in hybrid electric vehicle. Appl. Energy 2018, 211, 538. [Google Scholar] [CrossRef]
  30. Xiong, R.; Zhang, Y.; He, H.; Zhou, X.; Pecht, M. A double-scale, particle-filtering, energy state prediction algorithm for lithium-ion batteries. IEEE Trans. Ind. Electron. 2018, 65, 1526. [Google Scholar] [CrossRef]

Share and Cite

MDPI and ACS Style

Xiong, R.; Sharkh, S.M.; Zhang, X. Research Progress on Electric and Intelligent Vehicles. Energies 2018, 11, 1762. https://doi.org/10.3390/en11071762

AMA Style

Xiong R, Sharkh SM, Zhang X. Research Progress on Electric and Intelligent Vehicles. Energies. 2018; 11(7):1762. https://doi.org/10.3390/en11071762

Chicago/Turabian Style

Xiong, Rui, Suleiman M. Sharkh, and Xi Zhang. 2018. "Research Progress on Electric and Intelligent Vehicles" Energies 11, no. 7: 1762. https://doi.org/10.3390/en11071762

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