双参数组合优化的复合电源模式切换控制策略

严珍; 王斌; 徐俊; 曹秉刚; 续丹

doi:10.7652/xjtuxb201611020

您当前的位置：

首页 >

文章列表页 >

双参数组合优化的复合电源模式切换控制策略

更新时间：2025-07-09

- 双参数组合优化的复合电源模式切换控制策略
- Double Parameter Optimization and Mode Switch Strategy for a Hybrid Energy Storage System
- 西安交通大学学报 2016年50卷第11期页码：129-135
- 作者机构：
  
  西安交通大学机械制造系统工程国家重点实验室,西安,710049
- 作者简介：
- 基金信息：
  
  : 2016-05-11。作者简介: 严珍(1993—),女,硕士生;徐俊(通信作者),男,讲师。基金项目: 国家自然科学基金资助项目(51405374);博士后基金资助项目(2014M560763)
- DOI：10.7652/xjtuxb201611020
  中图分类号： U469.72
- 网络首发：2016-11-10，
  
  纸质出版：2016
- 稿件说明：
移动端阅览
严珍, 王斌, 徐俊, 等. 双参数组合优化的复合电源模式切换控制策略[J]. 西安交通大学学报, 2016,50(11):129-135.

Double Parameter Optimization and Mode Switch Strategy for a Hybrid Energy Storage System[J]. 2016, 50(11): 129-135.
严珍, 王斌, 徐俊, 等. 双参数组合优化的复合电源模式切换控制策略[J]. 西安交通大学学报, 2016,50(11):129-135. DOI： 10.7652/xjtuxb201611020.

Double Parameter Optimization and Mode Switch Strategy for a Hybrid Energy Storage System[J]. 2016, 50(11): 129-135. DOI： 10.7652/xjtuxb201611020.

摘要

针对电动汽车多模式复合电源系统的工作模式频繁切换、系统参数优化不易实现的问题

结合超级电容荷电状态、需求功率以及部件效率

提出一种基于平均功率和滞环控制的双参数组合优化切换控制策略。通过实时平均功率跟踪和滞环控制来避免工作模式频繁切换

提高系统稳定性; 通过建立双参数组合优化的模拟退火目标函数来优化系统工作效率。对所搭建的复合电源系统仿真模型与实车测试进行比较验证

结果表明:采用双参数组合优化切换控制策略能降低复合电源工作模式切换频率和电池输出频率

有效保证了系统的稳定性和电池安全

从而提高系统效率和延长电池使用寿命; 与基线控制策略相比

实车测试时复合电源系统工作效率提高了1.8%。该结果可为电动汽车复合电源系统研究提供参考。

Abstract

To avoid frequent mode switching and optimize the system control parameters for multi-mode hybrid energy storage system(HESS)

a mode switch strategy with double parameter optimization(DPO)is proposed. Combining the state of charge(SOC)of ultra-capacitor(UC)

power demand and the component efficiency

the DPO is integrated with the hysteresis control based on the real-time average power. The frequent mode switching can be effectively avoided and the system stability of the multi-mode HESS can be improved via the hysteresis control. To achieve the optimization of the overall system efficiency

the goal function of the simulated annealing optimization is established. The simulations and experiments verify the effectiveness of the DPO switch strategy. A comparison shows that the DPO switch strategy enables to reduce the frequencies of mode switching and of battery power output. The system stability and the battery safety are effectively guaranteed

and the overall system efficiency is improved and the battery life is extended simultaneously. Compared with the rule-based strategy

the overall system efficiency is improved up to 1.8%.

关键词

Keywords

references

王斌, 徐俊, 曹秉刚, 等. 采用模拟退火算法的电动汽车复合电源能量管理系统优化 [J]. 西安交通大学学报, 2015, 49(8): 90-96.

WANG Bin, XU Jun, CAO Binggang, et al. Optimization of energy management system with simulated annealing approach for hybrid power source in electric vehicles [J]. Journal of Xi'an Jiaotong University, 2015, 49(8): 90-96.

WANG Bin, XU Jun, CAO Binggang, et al. A novel multimode hybrid energy storage system and its energy management strategy for electric vehicles [J]. Journal of Power Sources, 2015, 281: 432-443.

王斌, 徐俊, 曹秉刚, 等. 电动汽车的多模式复合电源能量管理自适应优化 [J]. 西安交通大学学报, 2015, 49(12): 130-136.

WANG Bin, XU Jun, CAO Binggang, et al. Adaptive optimization of energy management strategy for a multi-mode hybrid energy storage system in electric vehicles [J]. Journal of Xi'an Jiaotong University, 2015, 49(12): 130-136.

WANG Bin, XU Jun, CAO Binggang, et al. Compound-type hybrid energy storage system and its mode control strategy for electric vehicles [J]. Journal of Power Electronics, 2015, 15(3): 849-859.

王斌, 徐俊, 曹秉刚, 等. 一种新型电动汽车复合电源结构及其功率分配策略 [J]. 汽车工程, 2015, 37(9): 1053-1058.

WANG Bin, XU Jun, CAO Binggang, et al. A novel hybrid power configuration and its power distribution strategy for electric vehicles [J]. Automotive Engineering, 2015, 37(9): 1053-1058.

TROVÃO J P F, PEREIRINHA P G, JORGE H M, et al. A multi-level energy management system for multi-source electric vehicles: an integrated rule-based meta-heuristic approach [J]. Applied Energy, 2013, 105(2): 304-318.

CAO J, EMADI A. A new battery/ultracapacitor hybrid energy storage system for electric, hybrid, and plug-in hybrid electric vehicles [J]. IEEE Transactions on Power Electronics, 2012, 27(1): 122-132.

TROVÃO J P F, SANTOS V D N, PEREIRINHA P G, et al. A simulated annealing approach for optimal power source management in a small EV [J]. IEEE Transactions on Sustainable Energy, 2013, 4(4): 867-876.

SONG Z, LI J, HAN X, et al. Multi-objective optimization of a semi-active battery/supercapacitor energy storage system for electric vehicles [J]. Applied Energy, 2014, 135: 212-224.

CASTAINGS A, LHOMME W, TRIGUI R, et al. Comparison of energy management strategies of a battery/supercapacitors system for electric vehicle under real-time constraints [J]. Applied Energy, 2016, 163: 190-200.

XIANG C, WANG Y, HU S, et al. A new topology and control strategy for a hybrid battery-ultracapacitor energy storage system [J]. Energies, 2014, 7(5): 2874-2896.

TAESIK P, TAEHYUNG K. Novel energy conversion system based on a multimode single-leg power converter [J]. IEEE Transactions on Power Electronics, 2013, 28(1): 213-220.

REN G, MA G, CONG N. Review of electrical energy storage system for vehicular applications [J]. Renewable and Sustainable Energy Reviews, 2015, 41: 225-236.

DUSMEZ S, KHALIGH A. A supervisory power splitting approach for a new ultracapacitor-battery vehicle deploying two propulsion machines [J]. IEEE Transactions on Industrial Informatics, 2014, 10(3): 1960-1971.

KIM N H, YANG O, KIM M H. BLDC motor control algorithm for industrial applications using a general purpose processor [J]. Journal of Power Electronics, 2007, 7(2): 132-139.

韩晓娟, 陈跃燕, 张浩, 等. 基于小波包分解的混合储能技术在平抑风电场功率波动中的应用 [J]. 中国电机工程学报, 2013, 33(19): 8-13.

HAN Xiaojuan, CHEN Yueyan, ZHANG Hao, et al. Application of hybrid energy storage technology based on wavelet packet decomposition in smoothing the fluctuations of wind power [J]. Journal of Proceedings of the CSEE, 2013, 33(19): 8-13.

王同景. 电动汽车复合电源能量管理策略研究 [D]. 长春: 吉林大学, 2015: 1-7.

AWERBUCH J J, SULLIVAN C R. Filter-based power splitting in ultracapacitor-battery hybrids for vehicular applications [C]∥2010 IEEE 12th Workshop on Control and Modeling for Power Electronics. Piscataway, NJ, USA: IEEE, 2010: 1-8.

HERRERA V, MILO A, GAZTAÑAGA H, et al. Adaptive energy management strategy and optimal sizing applied on a battery-supercapacitor based tramway [J]. Applied Energy, 2016, 169: 831-845.

WANG Bin, XU Jun, CAO Binggang, et al. Design of a novel hybrid power for EV [C]∥2014 ITEC Asia-Pacific. Piscataway, NJ, USA: IEEE, 2014: 1-5.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

电动汽车R290回热-补气耦合热泵性能实验研究

锂离子电池全生命周期的动静态荷电状态估算方法

超临界水异常区域热力学特性研究

水蒸气掺混对氨裂解气旋流燃烧与排放特性的影响研究

隧道内燃料电池汽车氢气泄漏扩散特性及影响因素