方向1:地面车辆混合动力系统的最优构型和控制

   hybrid vehicle optimization

混合动力履带车

 

   虽然我们已经将许多优化控制理论(如:动态规划法,庞特里亚金最小值原理和构型及控制的联合优化法等)应用于混合动力系统的优化设计与控制上了,但是,对于自适应或基于学习的控制方法以及混合动力系统联合优化设计的高效建模和计算的进一步研究还需要继续进行下去。

 

参考:

1. Zou, Y., Sun, F-C.,Zhang, C-N. and Li, J.Q. Optimal energy management strategy for hybrid electric tracked vehicles. Int. J. Vehicle Design, 2013; 58(2/3/4): 307–324.

2. Zou Y, Sun F, Hu X, Guzzella L, Peng H. Combined Optimal Sizing and Control for a Hybrid Tracked Vehicle. Energies. 2012; 5(11):4697-4710.

3. Yuan Z, Teng L, Fengchun S, Peng H. Comparative Study of Dynamic Programming and Pontryagin’s Minimum Principle on Energy Management for a Parallel Hybrid Electric Vehicle. Energies. 2013; 6(4):2305-2318.

4. Yuan Zou, Dong-ge Li, and Xiao-song Hu. Optimal Sizing and Control Strategy Design for Heavy Hybrid Electric Truck. Mathematical Problems in Engineering. 2012,Article ID 404073, 15 pages, 2012. doi:10.1155/2012/404073.

5. ZOU Yuan, CHEN Rui, HOU Shijie, HU Xiaosong. Energy Management Strategy for Hybrid Electric Tracked Vehicle Based on Stochastic Dynamic Programming (In Chinese). Journal of Mechanical Engineering, 2013; 48(14): 91-96.

6. Shi-Jie Hou, Yuan Zou(Corresponding author), Rui Chen. Modeling and Control Optimization of a Hybrid Electric Truck [J]. Transactions of Beijing Institute of Technology, 2012, Suppl.

7. Yuan Zou,Hou Shijie, etc. Hybrid electric commercial truck energy management optimization based on dynamic programming [J]. Automotive Engineering, 2012, 34(8): 663-668.

8. Yuan ZOU,Chengning ZHANG,Fengchun SUN,Jingbo WU. Power control of dual-motor electric drive for tracked vehicles. Chinese Frontier of Mechanical Engineering. 2010,5(1): 67-72

9. ZOU Yuan, GAO Wei, HOU Shi-jie, CHEN Rui, LI Jun-qiu. System-level modeling and real-time simulation for hybrid tracked vehicle. Transaction of Beijing Institute of Technology, 2013, 33(1): 31-36.

方向2:锂离子电池建模和参数辨识

   电池研究内容

 

  对锂离子电池动态特性的研究在电动车辆的研究中占有重要地位。电池的额定功率和可靠性限制了其输出功率。在研究时,我们通常把电池看作是一个“灰箱”或“黑箱”系统,建模和辨识则是从电池测试得到的历史数据中发掘更多电池信息的好方法。

 

参考:

1. HU Xiao-song, SUN Feng-chun, Zou Yuan(Corresponding author). Online model identification of lithium-ion battery for electric vehicles [J]. Journal of Central South University of Technology,2011,18(5):1525-1530.

2. Xiao song Hu, Fengchun Sun, Yuan Zou. Estimation of State of Charge of a Lithium-Ion Battery Pack for Electric Vehicles Using an Adaptive Luenberger Observer [J]. Energies 2010, 3, 1586-1603.

3. Fengchun Sun, Xiaosong Hu, Yuan Zou, Siguang Li. Adaptive unscented Kalman filtering for state of charge estimation of a lithium-ion battery for electric vehicles [J]. Energy, 2011, 36(5):3531-3540.

4. HU Xiaosong, SUN Fengchun, Zou Yuan. SOC Distribution-Based Modeling for a Lithium-Ion Battery for Electric Vehicles using Numerical Optimization [J]. Journal of Harbin Institute of Technology (New Series).2011,18(5):49-54.

5. HU Xiaosong, SUN Fengchun, Zou Yuan. Modeling the Dynamic Behavior of a Lithium-ion Battery for Electric Vehicles Using Numerical Optimization [J]. Journal of Beijing Institute of Technology, 2011, 20(1):60-64.

 

方向3:网联电动车辆的操控及其与电网和交通运输系统的耦合

   V2G研究内容

车联网巡航行驶

   电动车辆一般都要求有相应的基础设施和车载的电能存储装置,当电动车辆被广泛应用时,一些新的特性和动态过程也会随之产生。这是一个具有多时间维度的极其复杂的超级系统,例如在交通运输系统中的电动汽车、地铁系统和铁路系统,我们需要对这种系统级别的效率分析和先进控制进行更多的研究。

   车联网使得电动汽车在交通系统中安全与节能的潜力大幅提升,研究联网功能下的电动汽车的控制已经成为重要的内容。

 

参考:

1. Yuan Zou,Shouyang Wei,Fengchun Sun. Large-scale deployment of electric taxis in Beijing: A real-world analysis [J]. Energy, 2016, 100, 25-29.

2. Zou Yuan, Fu Yi-long. Operation characteristic visual simulation for metro train in the tunnel under the river [J]. Journal of system simulation, 2008, (8): 2182~2219.