Power Flow Control Strategy of Hybrid Power System of Electric Drive Armored Vehicle

doi:10.3969/j.issn.1000-1093.2017.12.001

Abstract

Abstract: A multi-algorithm-based power flow control strategy is established for a kind of power source of series hybrid drive system, in which the disparate control objectives are realized by using different algorithms. The wavelet transform is used to separate the high and low frequency components of the load demand power. The frequency values are distributed to the super capacitor and the power sources with low output cutoff frequency to realize the matching of load frequency characteristic and power source output characteristic. The fuzzy controller is used to realize the optimal control of battery state of charge. A secondary allocation strategy is designed to control optimally the instantaneous efficiency of system when the low frequency component of optimal load demand power is allocated between battery and engine-generator set. The simulation analysis and vehicle test results show that the proposed power flow control algorithm can be used for the multiobjective optimization control of multi-power source system, and it is suitable for power flow control of armored vehicle hybrid power system.Key

Key words: ordnancescienceandtechnology, electricdrivearmoredvehicle, hybridpowertrain, powermanagement, wavelettransform, fuzzycontrol, systemefficiencyoptimalcontrol

CLC Number:

LIAO Zi-li, XIANG Yu, LIU Chun-guang, LI Jia-qi. Power Flow Control Strategy of Hybrid Power System of Electric Drive Armored Vehicle[J]. Acta Armamentarii, 2017, 38(12): 2289-2300.

References

［1］臧克茂. 陆战平台全电化技术研究综述[J].装甲兵工程学院学报,2011,25(1):1-6.
ZANG Ke-mao. Study on the all-electric technology of land warfare platform [J]. Journal of Academy of Armored Force Engineering, 2011,25(1):1-6.(in Chinese)

[2] 孙逢春，张承宁. 电传动装甲车辆混合动力电传动技术[M]. 北京：国防工业出版社,2008：26-28.
SUN Feng-chun, ZHANG Cheng-ning. Technologies for the hybrid electric drive system of armored vehicle[M]. Beijing: National Defense Industry Press,2008:26-28. (in Chinese)

[3] Farzad R S. Control strategies for hybrid electric vehicles: evolution, classification, comparison, and future trends [J]. IEEE Transactions on Vehicular Technology, 2007, 56(5): 2393-2404.
[4] Zhang X, Mi C. 车辆能量管理: 建模、控制与优化[M]. 张希, 米春亭, 译. 北京：机械工业出版社, 2013：134-137.
Zhang X, Mi C. Vehicle power management: modeling, control and optimization [M]. ZHANG Xi, MI Chun-ting, translated. Beijing: China Machine Press, 2013：134-137. (in Chinese)
[5] 邹渊，陈锐，侯仕杰，等. 基于随机动态规划的混合动力履带车辆功率流控制策略[J].机械工程学报，2012,48(14):91-96.
ZOU Yuan，CHEN Rui，HOU Shi-jie，et al. Energy management strategy for hybrid electric tracked vehicle based on stochastic dynamic programming[J]. Journal of Mechanical Engineering,2012,48(14):91-96. (in Chinese)
[6] Lian J, Liu S, Li L H, et al. A mixed logical dynamical-model

predictive control (MLD-MPC) energy management control strategy for plug-in hybrid electric vehicles(PHEVs)[J]. Energies, 2017,10(1):1-18.
[7] Schori M, Boehme T J, Jeinsch T, et al. A robust predictive energy management for plug-in hybrid vehicles based on hybrid optimal control theory[C]∥2015 American Control Conference.Chicago, IL, US: American Automatic Control Council, 2015:2278-2283.
[8] 陈慧勇, 吴光强.混合动力汽车补偿模糊神经网络能量管理策略[J].同济大学学报：自然科学版,2009,37(4): 525-530.
CHEN Hui-yong, WU Guang-qiang. Compensation fuzzy neural network power management strategy for hybrid electric vehicle[J]. Journal of Tongji University: Natural Science, 2009, 37(4):525- 530. (in Chinese)
[9] Li S G, Sharkh S M, Walsh F C, et al. Energy and battery management of a plug-in series hybrid electric vehicle using fuzzy logic [J]. IEEE Transactions on Vehicular Technology, 2011, 60(8): 3571-3585.
[10] Hyeoun D L, Seung K S. Fuzzy-logic-based torque control strategy for parallel-type hybrid electric vehicle[J]. IEEE Transactions on Industrial Electronics, 1998, 45(4):625-632.
[11] 张炳力, 赵韩, 吴迪, 等.基于小波变换的燃料电池混合动力系统多能源管理策略研究[J].汽车工程, 2008,30(10):914-918.
ZHANG Bing-li, ZHAO Han, WU Di, et al. A study on the multi-energy management strategy for fuel cell hybrid powertrain based on wavelet-transform [J]. Automotive Engineering, 2008, 30(10): 914-918. (in Chinese)
[12] Falkoski B J. Forward and inverse transformations between Haar wavelet and arithmetic functions [J]. Electronics Letters, 1998,34(11): 1084-1085.
[13] Wang X. Moving window-based double Haar wavelet transform for image processing [J]. IEEE Transactions on Image Process,2006, 15(9) : 2771-2779.
[14] Gupta V. Energy management in parallel hybrid electric vehicles combining fuzzy logic and equivalent consumption minimization algorithms[J]. HCTL Open International Journal of Technology Innovations and Research, 2014, 10(2): 1-18.
[15] 陈建松, 陈南, 殷国栋, 等.基于dSPACE的4WS车辆硬件在环控制仿真研究[J].系统仿真学报, 2010,22(7):1622-1626.
CHEN Jian-song, CHEN Nan, YIN Guo-dong, et al. Study on hardware in loop control simulation for four-wheel steering vehicle based on dSPACE[J]. Journal of System Simulation, 2010, 22(7): 1622-1626. (in Chinese)
[16] 颜南明, 张豫南, 刘春光, 等. MATLAB环境下的分布式硬件在环仿真技术研究[J].系统仿真学报, 2010,22(8):1866- 1869.
YAN Nan-ming, ZHANG Yu-nan, LIU Chun-guang, et al. Research on distributed hardware-in-loop simulation technology in MATLAB [J]. Journal of System Simulation, 2010, 22(8):1866-1869. (in Chinese)
[17] 王红军, 陈佳鑫, 邹湘军, 等. SimulationX及硬件在环仿真在伺服压力机设计和研究中的应用[J].机械工程学报, 2012, 48(6):51-56.
WANG Hong-jun, CHEN Jia-xin, ZOU Xiang-jun, et al. Application of SimulationX and hardware-in-the-loop in design and research of servo precision press [J]. Journal of Mechanical Engineering, 2012,48(6):51-56. (in Chinese)
[18] 何舜, 张建文, 蔡旭.风电变流器的RT-LAB硬件在环仿真统仿设计与实现[J].电力系统保护与控制, 2013,41(23):43-48.
HE Shun, ZHANG Jian-wen, CAI Xu. Realization and design of wind power converter model based on RT-LAB HIL system [J]. Power System Protection and Control, 2013, 41(23):43-48. (in Chinese)

第38卷第12期
2017 年12月兵工学报ACTA
ARMAMENTARIIVol.38No.12Dec.2017

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