Overview of Supercapacitor Management Techniques in Electrified Vehicle Applications

被引:0
|
作者
Zhang L. [1 ,2 ]
Hu X. [3 ]
Wang Z. [1 ,2 ]
机构
[1] Collaborative Innovation Center for Electric Vehicles in Beijing, Beijing Institute of Technology, Beijing
[2] National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing
[3] College of Automotive Engineering, Chongqing University, Chongqing
来源
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2017年 / 53卷 / 16期
关键词
Balancing management; Electrified vehicles; Hybrid energy storage system; State estimation; Ultracapacitor;
D O I
10.3901/JME.2017.16.032
中图分类号
学科分类号
摘要
Ultracapacitors (UCs) have been recognized as an enabling technology for electrified vehicles (EV) applications. They have high power density, low internal resistance, wide operating temperature range and excellent recyclability. These desirable merits render them well-suited to work independently or in combination with high-energy devices for peak power handling under practical driving conditions. A capable UC management system is necessary for ensuring safe, efficient and reliable of UC systems. This paper presents a comprehensive overview of UC management techniques, with the primary goal to summarize recent progress and spark innovative ideas for further research advance. The state-of-the-art control-oriented modeling, state estimation and balancing management techniques are systematically surveyed. Especially, state-of-charge (SOC) estimation and state-of-health (SOH) monitoring are covered, with detailed analysis on the underlying aging mechanism and influencing factors. Balancing techniques, which are critical for enhancing system efficiency and preserving UC service life, are explicated. For EV applications, diverse configurations of battery-UC hybrid energy storage system are examined, and the associated energy management strategies are reviewed. The independent utilization scenarios of UC systems are also exhibited. Finally, the prospects for UC management technique development and applications are discussed. © 2017 Journal of Mechanical Engineering.
引用
收藏
页码:32 / 43and69
页数:4337
相关论文
共 100 条
  • [1] Li L., You S., Yang C., Et al., Driving-behavior-aware stochastic model predictive control for plug-in hybrid electric buses, Applied Energy, 162, 1, pp. 868-879, (2016)
  • [2] Cao J., Emadi A., A new battery/ultracapacitor hybrid energy storage system for electric, hybrid, and plug-in hybrid electric vehicles, IEEE Transactions on Power Electronics, 27, 1, pp. 122-132, (2012)
  • [3] Jafari M., Gauchia A., Zhang K., Et al., Simulation and analysis of the effect of real-world driving styles in an EV battery performance and ageing, IEEE Transactions on Transportation Electrification, 1, 6, pp. 391-401, (2015)
  • [4] Zhang L., Hu X., Wang Z., Et al., Fractional-order modeling and state-of-charge estimation for ultracapacitors, Journal of Power Sources, 314, pp. 28-34
  • [5] Miller J., Simon P., Electrochemical capacitors for energy management, Science, 321, pp. 651-652, (2008)
  • [6] Ortuzar F.M., Moreno J., Dixon J., Supercapacitor-based auxiliary energy system for an electric vehicle: Implementation and evaluation, IEEE Transactions on Industrial Electrononics, 54, 4, pp. 2147-2156, (2007)
  • [7] Shen J., Dusmez S., Khaligh A., Optimization of sizing and battery cycle life in battery/UC hybrid energy storage system for electric vehicle applications, IEEE Transaction on Industrial Informatics, 10, 4, pp. 2112-2121, (2014)
  • [8] Zhang L., Hu X., Wang Z., Et al., A review of supercapacitor modeling, estimation, and applications: A control/management perspective, Renewable and Sustainable Energy Reviews, (2017)
  • [9] Simon P., Gogotsi Y., Materials for electrochemical capacitors, Nature Materials, 7, 11, pp. 845-854, (2008)
  • [10] Frackowiak E., Beguin F., Carbon materials for the electrochemical storage of energy in capacitors, Carbon, 39, 6, pp. 937-950, (2001)