
浏览全部资源
扫码关注微信
中国北方车辆研究所,北京 100072
北京理工大学 机械与车辆学院,北京 100081
Received:18 July 2025,
Online First:25 December 2025,
Published:2026-04
移动端阅览
MAO Feihong, DU Fu, JIN Bingrui, et al. An Overview of Research on the Modeling of Hybrid Tracked Vehicles for Virtual Testing of Mobility Performance[J]. Acta Armamentarii, 2026, 47(4): 250669.
MAO Feihong, DU Fu, JIN Bingrui, et al. An Overview of Research on the Modeling of Hybrid Tracked Vehicles for Virtual Testing of Mobility Performance[J]. Acta Armamentarii, 2026, 47(4): 250669. DOI: 10.12382/bgxb.2025.0669.
串联式混合动力履带装甲车辆融合了柴油机-发电机一体化动力、复合储能和机电复合传动等技术,在现代军事装备领域呈现出显著的战场优势,构成了未来全电化履带装甲车辆的重要发展基础。系统建模是虚拟试验过程的重要环节,以混合动力履带装甲车辆机动性能虚拟试验中的电网运行特性分析、能量管理与协调控制、机动性能评估与优化三项核心任务为牵引,梳理上述三项任务场景下混合动力履带装甲车辆中的关键系统与部件模型,通过对现有文献的回顾,阐述各类模型的建模方法以及适用场景并进行分类总结,最后探讨从仿真过渡到虚拟试验的挑战及可能的发展方向。机动性能虚拟试验任务驱动的混合动力履带装甲车辆模型包含多个子系统模型,其中关键部件的模型各自有不同的复杂度与维度,在开展机动性能虚拟试验时应根据任务需求平衡模型的复杂度与响应速度,同时实现模型之间数据流与业务流的贯通。
The series hybrid electric transmission tracked armored vehicle integrates the technologies such as integrated diesel generator power
composite energy storage
and electro-mechanical transmission
demonstrating significant battlefield advantages in the field of modern military equipment. It forms an important developmental foundation for future all-electric tracked armored vehicles. System modeling is a critical link of the virtual testing process. The key system and component models of hybrid electric tracked armored vehicles are reviewed from three core tasks
i. e.
the analysis of power grid operating characteristics
the energy management and coordinated control and the mobility performance assessment and optimization
in the virtual testing of vehicle mobility performance. The modeling methods and applicable scenarios of various models are elaborated
categorized
and summarized by reviewing the existing pertinent literatures. Finally
the challenges and potential development directions in transitioning from simulation to virtual testing are discussed. The mobility performance virtual testing task-driven model of hybrid electric tracked armored vehicles includes multiple subsystem models
among which the key component models have different levels of complexity and dimensionality. When the virtual test of mobility performance is conducted
it is essential to balance the model complexity and response speed according to task requirements
while ensuring the integration of data flow and operational process among the models.
盖江涛,生辉,周广明,等.串联式混合动力履带车辆急加速工况功率平衡控制策略[J].兵工学报,2021,42(10):2180-2188.
GAI J T, SHENG H, ZHOU G M, et al. Power balance control strategy of series hybrid tracked vehicle under rapid acceleration [J]. Acta Armamentarii, 2021, 42 (10): 2180 - 2188. (in Chinese)
李俊萍.混合动力装甲车辆电网参数测试系统的研究[D].太原:中北大学,2014.
LI J P.Research on hybrid power armored vehicles power grid parameters test system [D]. Taiyuan: North University of China, 2014. (in Chinese)
岳文斌,宁功韬,倪永亮,等.坦克装甲车辆电力系统源网荷储协同优化与安全控制:架构设计及前沿思考[J].兵工学报,2024,45(8):2463-2477.
YUE W B, NING G T, NI Y L, et al. Collaborative optimization and security control of source-grid-load storage of tank and armored vehicle power system: architecture design and frontier thinking [J]. Acta Armamentarii, 2024, 45 (8): 2463-2477. (in Chinese)
段建国,徐欣.虚拟试验技术及其应用现状综述[J].上海电气技术,2015,8(3):1-12.
DUAN J G, XU X.Overview of present status of virtual experimental technique and its application [J]. Journal of Shanghai Electric Technology, 2015, 8 (3): 1-12. (in Chinese)
岳玉娜,吴艳.面向综合性能评估的特种车辆虚拟试验应用系统设计与实现[J].汽车工程学报,2019,9(1):43-51.
YUE Y N, WU Y.Design and development of a virtual test system for performance evaluation of special vehicles [J]. Chinese Journal of Automotive Engineering, 2019, 9 (1): 43-51. (in Chinese)
KANON R J, GRIFFIN K W, FERNANDO R, et al. Applying digital engineering digital twin to support ground vehicle virtual experimentation [R]. Warrendale, PA, US: SAE International, 2024.
MILNER D, GOODELL J, SMITH W, et al. Modeling and simulation of an autonomous hybrid-electric military vehicle [J]. World Electric Vehicle Journal, 2009, 3:1-9.
EDDY C W. Digital twin in military ground vehicles:design and predictive maintenance[D]. Clemson, SC, US:Clemson University, 2024.
DALY N, MANVI P, CHHATBAR T, et al. Modeling & validation of a digital twin tracked vehicle [R]. Warrendale, PA, US: SAE International, 2024.
ABAYADEERA M R, GANEGODA G U. Digital twin technology:a comprehensive review [J]. International Journal of Scientific Research and Engineering Trends, 2024, 10 (4): 1485-1504.
EDDY C W, CASTANIER M P, WAGNER J R. Predictive maintenance of a ground vehicle using digital twin technology [R]. Warrendale, PA, US:SAE International, 2024.
王博.机电复合传动履带车辆转向过程性能预测研究[D]北京:北京理工大学,2016.
WANG B.Research on mechanical-electric transmission tracked vehicle steering performance prediction [D]. Beijing: Beijing Institute of Technology, 2016. (in Chinese)
马晓军,张杰,刘春光,等.基于电驱动的履带装甲车辆及其控制技术发展[J].装甲兵学报,2022,1(3):72-81.
MA X J, ZHANG J, LIU C G, et al. Development of electric tracked armored vehicle and its control strategy [J]. Journal of Armored Forces, 2022, 1 (3): 72-81. (in Chinese)
丁珈,周炜,张永,等.数字孪生驱动的装备全寿命周期智能运维技术进展与展望[J].系统工程理论与实践,2025,45(6):1828-1845.
DING J, ZHOU W, ZHANG Y, et al. Digital twin-driven full lifecycle intelligent equipment maintenance: progress and prospects [J]. Systems Engineering-Theory & Practice, 2025, 45 (6): 1828-1845. (in Chinese)
林程,孙建侠,徐垚,等.电动汽车驱动系统直流母线稳定性分析[J].汽车工程,2022,44(4):583-590.
LIN C, SUN J X, XU Y, et al. Stability analysis of DC bus of electric vehicle drive system [J]. Automotive Engineering, 2022, 44 (4): 583-590. (in Chinese)
王绪.串联型混合动力无人履带车辆源荷协调控制策略研究[D].北京:北京理工大学,2025.
WANG X.Research on source-load coordination control strategy for series hybrid unmanned tracked vehicles [D]. Beijing: Beijing Institute of Technology, 2025. (in Chinese)
徐浩轩,马晓军,刘春光.混合动力装甲车直流微电网大信号稳定性分析[J].兵工学报,2023,44(1):108-116.
XU H X, MA X J, LIU C G.Large-signal stability of on-board DC microgrids for hybrid electric armored vehicles [J]. Acta Armamentarii, 2023, 44 (1): 108-116. (in Chinese)
李昕放.基于滑模控制和强化学习的发动机转速控制[D].长春:吉林大学,2024.
LI X F.Engine speed control based on sliding mode control and reinforcement learning [D]. Changchun: Jilin University, 2024. (in Chinese)
陈佳瑶.面向柴油机性能预测的实时燃烧模型建模方法研究[D].哈尔滨:哈尔滨工程大学,2022.
CHEN J Y.Research on real-time combustion performance prediction model of diesel engine [D]. Harbin: Harbin Engineering University, 2024. (in Chinese)
魏明坤.基于GT-POWER某增压式柴油机的性能仿真[D].太原:中北大学,2023.
WEI M K.Performance simulation of a supercharged diesel engine based on GT-POWER [D]. Taiyuan: North University of China, 2023. (in Chinese)
刘宇浩,解方喜,刘成军,等.柴油发动机燃油跨/超临界喷射特性数值仿真[J].兵工学报,2024,45(5):1416-1425.
LIU Y H, XIE F X, LIU C J, et al. Numerical simulation of transcritical/supercritical injection characteristics of diesel engine fuel [J]. Acta Armamentarii, 2024, 45 (5): 1416-1425. (in Chinese)
JENSEN J, KRISTENSEN A F, SORENSON S C, et al. Mean value modeling of a small turbocharged diesel engine [R]. Warrendale, PA, US:SAE International, 1991.
李刚.履带车辆动力传动系统基于转矩控制策略研究[D].北京:北京理工大学,2015.
LI G.Research on torque-based control for tracked heavy-duty vehicle powertrain device [D]. Beijing: Beijing Institute of Technology, 2015. (in Chinese)
陈爽.混合动力汽车发动机动态模型研究[D].重庆:重庆大学,2018.
CHEN S.Research on transient engine model of hybrid electric vehicle [D]. Chongqing: Chongqing University, 2018. (in Chinese)
CHEN Y Y, LU J M, LIU Z K, et al. Comprehensive evaluation on a heat self-balanced low-temperature ammonia reforming-based high-power hybrid power generation system combined with proton exchange membrane fuel cell and internal combustion engine [J]. Journal of Cleaner Production, 2025, 491:144755.
ZHAO D Z, STOBART R, DONG G Y, et al. Real-time energy management for diesel heavy duty hybrid electric vehicles [J]. IEEE Transactions on Control Systems Technology, 2014, 23 (3): 829-841.
顾琰浩,吴晓东,李明军.面向增程式混合动力车辆的发动机混合模型设计[C]∥2019中国汽车工程学会年会论文集(2).北京:机械工业出版社,2019:359-365.
GU Y H, WU X D, LI M J.Mixed engine model design for extended-range electric vehicles[C]∥Proceedings of China-SAE Congress Proceedings (2).Beijing: China Machine Press, 2019: 359-365. (in Chinese)
BANAZADEH A, GOL H A, RAMAZANI H. Dynamic model identification and control of small turbojet engines using frequency response analysis [C]∥Proceedings of the 2012 International Conference on Advanced Mechatronic Systems. Tokyo, Japan:IEEE, 2012:553-558.
伯琳.串联式机电复合传动系统电功率高响应协调控制研究[D].北京:北京理工大学,2023.
BO L.Research on high power response coordinated control of series electro-mechanical transmission system [D]. Beijing: Beijing Institute of Technology, 2023. (in Chinese)
温博轩,王伟达,项昌乐,等.机电复合传动系统发动机模型集辨识[J].吉林大学学报(工学版),2017,47(5):1358-1366.
WEN B X, WANG W D, XIANG C L, et al. Identification of engine model set for elcetro-mechanical transmission [J]. Journal of Jilin University (Engineering and Technology Edition), 2017, 47 (5): 1358-1366. (in Chinese)
谢学远,林晨,吴晗,等.基于虚拟行驶场景的特种车辆发动机运行特性联合仿真研究[J].系统仿真学报,2025,37(8):2163-2175.
XIE X Y, LIN C, WU H, et al. Research on joint simulation of special vehicle engine operation characteristics based on virtual driving scenarios [J]. Journal of System Simulation, 2025, 37 (8): 2163-2175. (in Chinese)
EVANGELOU S A, SHUKLA A. Advances in the modelling and control of series hybrid electric vehicles [C]∥Proceedings of 2012 American Control Conference. Montreal, QC, Canada:IEEE, 2012:527-534.
MILIĆEVIĆ S V, BLAGOJEVIĆ I A. Managing fuel consumption and emissions for hybrid electric vehicles through optimization of engine operation [J]. Thermal Science, 2025, 29 (5A): 3545-3560.
周唯.增程式电动汽车动态建模与能量管理控制优化研究[D].北京:北京理工大学,2015.
ZHOU W.Study on dynamic modeling and energy management control optimization for extended range electric vehicles [D]. Beijing: Beijing Institute of Technology, 2015. (in Chinese)
SONG Q W, GRIGORIADIS K M. Diesel engine speed regulation using linear parameter varying control[C]∥Proceedings of the 2003 American Control Conference. Denver, CO, US: IEEE, 2003, 1:779-784.
SHEN Q Q, WANG G Y, WANG Y H, et al. Prediction model for transient NOx emission of diesel engine based on CNN-LSTM network [J]. Energies, 2023, 16 (14): 5347.
杜常清,杜传进,严运兵.基于模型的汽油机动态转矩输出性能仿真研究[J].武汉理工大学学报(交通科学与工程版),2008,32(2):229-231,266.
DU C Q, DU C J, YAN Y B.Research of gasoline engine's dynamic torque output based on model [J]. Journal of Wuhan University of Technology (Transportation Science), 2008, 32 (2): 229-231, 266. (in Chinese)
WANG H, HUANG Y J, KHAJEPOUR A, et al. Model predictive control-based energy management strategy for a series hybrid electric tracked vehicle [J]. Applied Energy, 2016, 182:105-114.
吕广耀.增程式电动车辆动力系统建模与控制策略的研究[D].北京:北京理工大学,2015.
LÜ G Y.Research of power system model and control strategy on engine-Generator set in range-extended electric vehicle [D]. Beijing: Beijing Institute of Technology, 2015. (in Chinese)
赵玉龙.机电复合传动用复合储能系统功率分配预测控制研究[D].北京:北京理工大学,2021.
ZHAO Y L.Research on predictive control-based power allocation strategy for hybrid energy storage system in electro-mechanical transmission [D]. Beijing: Beijing Institute of Technology, 2021. (in Chinese)
BO L, HAN L J, XIANG C L, et al. A Q-learning fuzzy inference system based online energy management strategy for off-road hybrid electric vehicles [J]. Energy, 2022, 252:123976.
曹桂军,闫凤军,李雪峰,等.串联混合动力客车辅助功率单元控制研究[J].汽车工程,2007,29(4):321-324.
CAO G J, YAN F J, LI X F, et al. A study on the control of auxiliary power unit of series hybrid electric bus [J]. Automotive Engineering, 2007, 29 (4): 321-324. (in Chinese)
伍赛特.装甲车辆动力传动技术研究现状及发展趋势展望[J].传动技术,2019,33(2):44-50.
WU S T.Research status and development trend of armored vehicle power transmission technology [J]. Drive System Technique, 2019, 33 (2): 44-50. (in Chinese)
YANG L Q, WANG W D, YANG C, et al. A self-triggered MPC strategy with adaptive prediction horizon for series hybrid electric powertrains [J]. IEEE Transactions on Industrial Informatics, 2023, 20 (4): 6762-6771.
高强,袁东,刘春光,等.车载综合电力系统大信号失稳预测[J].兵器装备工程学报,2020,41(12):143-148.
GAO Q, YUAN D, LIU C G, et al. Large-signal instability prediction of vehicular integrated power system [J]. Journal of Ordnance Equipment Engineering, 2020, 41 (12): 143-148. (in Chinese)
ZHANG Y W, ZOU Y, ZHOU Y. Simulation of complex surface driving performance of all-terrain walking mechanism [C]∥Proceedings of the Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control. Bellingham, WA, US:SPIE, 2024, 13163:2097-2102.
孙逢春,张承宁.装甲车辆混合动力电传动技术[M].第2版.北京:国防工业出版社,2016.
SUN F C, ZHANG C N.Technologies for the hybrid electric drive system of armored vehicles [M]. 2nd edition. Beijing: National Defense Industry Press, 2016. (in Chinese)
WU J L, ZOU Y, ZHANG X D. A hierarchical energy management for hybrid electric tracked vehicle considering velocity planning with pseudospectral method [J]. IEEE Transactions on Transportation Electrification, 2020, 6 (2): 703-716.
VISHWANATH NAGARAJAN V S, JADOUN V K, JAYALAKSHMI N S, et al. An overview of electric and hybrid vehicle technology [J]. Lecture Notes in Electrical Engineering, 2024, 1086:441-456.
DENG D. Li-ion batteries:basics, progress, and challenges [J]. Energy Science & Engineering, 2015, 3 (5): 385-418.
李建林,彭禹宸,王茜,等.锂离子电池建模研究现状与展望[J].发电技术,2025,46(5):857-871.
LI J L, PENG Y C, WANG Q, et al. Research status and prospect of lithium-ion battery modelling [J]. Power Generation Technology, 2025, 46 (5): 857-871. (in Chinese)
CAO Y, KROEZE R C, KREIN P T. Multi-timescale parametric electrical battery model for use in dynamic electric vehicle simulations [J]. IEEE Transactions on Transportation Electrification, 2016, 2 (4): 432-442.
TAO L F, MA J, CHENG Y J, et al. A review of stochastic battery models and health management [J]. Renewable and Sustainable Energy Reviews, 2017, 80:716-732.
KLEIN R, CHATURVEDI N A, CHRISTENSEN J, et al. Electrochemical model based observer design for a lithium-ion battery [J]. IEEE Transactions on Control Systems Technology, 2012, 21 (2): 289-301.
SMITH K A, RAHN C D, WANG C Y. Control oriented 1D electrochemical model of lithium ion battery [J].Energy Conversion and Management, 2007, 48 (9): 2565-2578.
LOCOROTONDC E, PUGI L, BERZI L, et al. Modeling and simulation of constant phase element for battery electrochemical impedance spectroscopy[C]∥Proceedings of the 2019 IEEE 5th International forum on Research and Technology for Society and Industry. Florence, Italy:IEEE, 2019:225-230.
CITTANTI D, FERRARIS A, AIRALE A, et al. Modeling Li-ion batteries for automotive application:a trade-off between accuracy and complexity [C]∥ Proceedings of 2017 International Conference of Electrical and Electronic Technologies for Automotive. Turin, Italy:IEEE, 2017:1-8.
BAŠIĆ M, VUKADINOVI Ć D, VIŠNJIĆ V, et al. Dynamic equivalent circuit models of lead-acid batteries-a performance comparison [J]. IFAC-PapersOnLine, 2022, 55 (4): 189-194.
WEI S Y, ZOU Y, SUN F C, et al. A pseudospectral method for solving optimal control problem of a hybrid tracked vehicle [J]. Applied Energy, 2017, 194:588-595.
LIU T, ZOU Y, LIU D X, et al. Reinforcement learning-based energy management strategy for a hybrid electric tracked vehicle [J]. Energies, 2015, 8 (7): 7243-7260.
GUO X W, LIU T, TANG B B, et al. Transfer deep reinforcement learning-enabled energy management strategy for hybrid tracked vehicle [J]. IEEE Access, 2020, 8:165837-165848.
路潇然,邹渊,张旭东,等.基于Munchausen-PER算法优化的混合动力履带车辆能量管理策略[J].兵工学报,2025,46(6):240498.
LU X R, ZOU Y, ZHANG X D, et al. Energy management strategy optimized by Munchausen-PER-DDQN for hybrid tracked vehicle [J]. Acta Armamentarii, 2025, 46 (6): 240498. (in Chinese)
WANG C, LIU R, TANG A H. Energy management strategy of hybrid energy storage system for electric vehicles based on genetic algorithm optimization and temperature effect [J]. Journal of Energy Storage, 2022, 51:104314.
HE H W, ZHANG X W, XIONG R, et al. Online model-based estimation of state-of-charge and open-circuit voltage of lithiumion batteries in electric vehicles [J]. Energy, 2012, 39 (1): 310-318.
TAN Y Q, LUO M J, SHE L Y, et al. Joint estimation of ternary lithium-ion battery state of charge and state of power based on dual polarization model [J]. International Journal of Electrochemical Science, 2020, 15 (2): 1128-1147.
DINDA S, DIAZ R. The partnership for a new generation of vehicles (PNGV)and its impact on body engineering [C]∥Proceedings of the 1995 International Body Engineering Conference:Advanced Technologies and Processes. Detroit, MI, US:IBEC Ltd. , 1995:5.
ZHANG Q, HAN J Q, LI G, et al. An adaptive energy management strategy for fuel cell/battery/supercapacitor hybrid energy storage systems of electric vehicles [J]. International Journal of Electrochemical Science, 2020, 15 (4): 3410-3433.
刘雨洋,王顺利,谢滟馨,等.基于在线参数辨识和改进2RC-PNGV模型的锂离子电池建模与SOC估算研究[J].储能科学与技术,2021,10(6):2312-2317.
LIU Y Y, WANG S L, XIE Y X, et al. Research on li-ion battery modeling and SOC estimation based on online parameter identification and improved 2RC-PNGV model [J]. Energy Storage Science and Technology, 2021, 10 (6): 2312-2317. (in Chinese)
颜湘武,郭玉威,王雨薇,等.基于GNL模型自适应无迹卡尔曼滤波的电动汽车荷电状态估计[J].科学技术与工程,2018,18(30):94-100.
YAN X W, GUO Y W, WANG Y W, et al. Electric vehicle battery state of charge estimation based on GNL model adaptive Kalman filter [J]. Science Technology and Engineering, 2018, 18 (30): 94-100. (in Chinese)
杜森,谢立洁,徐梓荐,等.三阶扩展GNL电池模型的研究[J].电子设计工程,2018,26(20):110-113.
DU S, XIE L J, XU Z J, et al. Research on three level expanded GNL cell module [J]. Electronic Design Engineering, 2018, 26 (20): 110-113. (in Chinese)
CHEN R H, YANG C, HAN L J, et al. Power reserve predictive control strategy for hybrid electric vehicle using recognition-based long short-term memory network [J]. Journal of Power Sources, 2022, 520:230865.
YANG L Q, WANG W D, YANG C, et al. Time-delay-aware power coordinated control approach for series hybrid electric vehicles [J]. Energy, 2024, 294:130934.
XIE S B, LANG K, QI S W. Aerodynamic-aware coordinated control of following speed and power distribution for hybrid electric trucks [J]. Energy, 2020, 209:118496.
QI Y L, XIANG C L, WANG W D, et al. Model predictive coordinated control for dual-mode power-split hybrid electric vehicle [J]. International Journal of Automotive Technology, 2018, 19 (2): 345-358.
WANG X, HUANG Y, WANG J. Study on driver-oriented energy management strategy for hybrid heavy-duty off-road vehicles under aggressive transient operating condition [J]. Sustainability, 2023, 15 (9): 7539.
LIU Y G, CHEN D Q, LEI Z Z, et al. Modeling and control of engine starting for a full hybrid electric vehicle based on system dynamic characteristics [J]. International Journal of Automotive Technology, 2017, 18 (5): 911-922.
LIU T, HU X S. A bi-level control for energy efficiency improvement of a hybrid tracked vehicle [J]. IEEE Transactions on Industrial Informatics, 2018, 14 (4): 1616-1625.
ZHANG Y H, SONG D F, YANG C H, et al. Improving hybrid tracked vehiclesˊ fuel efficiency through the use of real-time based power distribution system [J]. Journal of Power Sources, 2025, 641:236815.
MILIC ˊ EVIC ˊ S, BLAGOJEVIC ˊ I, MILOJEVIC ˊ S, et al. Numerical analysis of optimal hybridization in parallel hybrid electric powertrains for tracked vehicles [J ] . Energies, 2024, 17 (14): 3531.
DAI Y T, WU Z G, YANG C. Identification for uncertain aeroelastic system set in the frequency domain[C]∥Proceedings of the 52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. Denver, CO, US: AIAA, 2011:2070.
裴鹏宇.双侧电机耦合驱动系统动态响应特性研究[D].重庆:重庆大学,2016.
PEI P Y.Study on dynamic response characteristics of dual motor coupling driving system [D]. Chongqing: Chongqing University, 2016. (in Chinese)
CHEN Z M, ZHOU X D, WANG Z, et al. A novel emergency braking control strategy for dual-motor electric drive tracked vehicles based on regenerative braking [J]. Applied Sciences, 2019, 9 (12): 2480.
张伟,刘辉,韩立金,等.混合动力履带车辆机电联合制动控制[J].兵工学报,2022,43(5):969-981.
ZHANG W, LIU H, HAN L J, et al. Intelligent control strategy of electromechanical braking for hybrid tracked vehicle [J]. Acta Armamentarii, 2022, 43 (5): 969-981. (in Chinese)
ZHANG J, MA X J, YUAN D, et al. Steering control of dual electric drive tracked vehicle based on model predictive control [J]. IOP Conference Series:Materials Science and Engineering, 2020, 782 (3): 032002.
HU J J, TAO J L, ZHAO W, et al. Modeling and simulation of steering control strategy for dual-motor coupling drive tracked vehicle [J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2019, 41 (4): 190.
韩毅.双电机耦合驱动履带车辆传动系统功率流分析与转向控制[D].重庆:重庆大学,2017.
HAN Y.Power flow analysis of the transmission system and steering control strategy of dual motor coupling driving tracked vehicle [D]. Chongqing: Chongqing University, 2017. (in Chinese)
盖江涛.履带车辆双电机耦合驱动技术研究[D].长沙:湖南大学,2015.
GAI J T.Study on technology of double side motors coupling drive transmission for tracked vehicle [D]. Changsha: Hunan University, 2015. (in Chinese)
DONG H T, XI J Q. Model predictive longitudinal motion control for the unmanned ground vehicle with a trajectory tracking model [J]. IEEE Transactions on Vehicular Technology, 2022, 71 (2): 1397-1410.
汤充.履带车辆行驶动力学耦合模型及其优化求解方法[D].杭州:浙江大学,2015.
TANG C.Coupled driving dynamic model of tracked vehicle and its optimization solving method [D]. Hangzhou: Zhejiang University, 2015. (in Chinese)
吴锐,于会龙,董昊天,等.履带式特种车辆精细化动力学建模与仿真[J].兵工学报,2024,45(5):1384-1401.
WU R, YU H L, DONG H T, et al. Refined dynamics modeling and simulation of special tracked vehicles [J]. Acta Armamentarii, 2024, 45 (5): 1384-1401. (in Chinese)
朱兴高.高速履带车辆负重轮系-履带-地面耦合动态特性研究[D].北京:北京理工大学,2015.
ZHU X G.Coupling dynamic characteristic research for wheelstrack-terrain system of high-speed tracked vehicles [D]. Beijing: Beijing Institute of Technology, 2015. (in Chinese)
CHEN B Y, SUN X C, ZHENG K F, et al. A rigid flexible coupling dynamics simulation of one type of tracked vehicle based on the RecurDyn[C]∥Proceedings of 2017 IEEE International Conference on Mechatronics and Automation. Kitakyushu, Japan:IEEE, 2017:711-716.
TAO J, DENG Z Y, CAO X Q, et al. Modeling and dynamic characteristics of tracked vehicle equipped with symmetrical suspensions based on multi-body dynamics and discrete element coupling method [J]. Applied Sciences, 2024, 14 (22): 10618.
RUBTSOV V I, BASHIROV M I, PANICHEV V A. Cooperative simulation process of unmanned track vehicle in RecurDyn and Simulink[C]∥Proceedings of AIP Conference Proceedings. Tokyo, Japan:AIP Publishing, 2019:2195.
LI Y, HE D C, SI Q R, et al. Effect of track shoes structural parameters on traction performance of unmanned underwater tracked bulldozer [J]. Ocean Engineering, 2021, 237:109655.
孔维康.电传动推土机多电机耦合驱动系统特性分析及其控制策略研究[D].长春:吉林大学,2023.
KONG W K.Research on control strategy and characterization analysis of multi-motor coupled propulsion system of electric bulldozer [D]. Changchun: Jilin University, 2023. (in Chinese)
胡纪滨,李雪原,魏超.装甲车辆行驶原理[M].北京:北京理工大学出版社,2019.
HU J B, LI X Y, WEI C.Driving principle of armored vehicle [M]. Beijing: Beijing Institute of Technology Press, 2019. (in Chinese)
张杰,马晓军,刘春光,等.双侧独立电驱动履带车辆反馈线性化解耦与预测行驶控制[J].兵工学报,2021,42(4):697-705.
ZHANG J, MA X J, LIU C G, et al. Feedback linearization decoupling and predictive driving control for dual independent electric drive tracked vehicle [J]. Acta Armamentarii, 2021, 42 (4): 697-705. (in Chinese)
ZHAI L, ZHANG X Y, WANG Z D, et al. Steering stability control for four-motor distributed drive high-speed tracked vehicles [J]. IEEE Access, 2020, 8:94968-94983.
GUO T Y, GUO J L, HUANG B, et al. Power consumption of tracked and wheeled small mobile robots on deformable terrainsmodel and experimental validation [J]. Mechanism and Machine Theory, 2019, 133:347-364.
HOU X Z, MA Y, XIANG C L. Design and comparative study of steering controller for tracked vehicle based on disturbance observation [J]. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2024, 238 (13): 4216-4229.
ÖZDEMIR M N, KILIC V, ÜNLÜSOY Y S. A new contact & slip model for tracked vehicle transient dynamics on hard ground [J]. Journal of Terramechanics, 2017, 73:3-23.
PURDY D J. A heuristic investigation into the design of a dynamic yaw controller for a high-speed tracked vehicle [J]. Proceedings of the Institution of Mechanical Engineers, Part D:Journal of Automobile Engineering, 2020, 234 (2/3): 689-701.
PURDY D J, SIMNER D, DISKETT D, et al. An experimental and theoretical investigation into the roll-over of tracked vehicles [J]. Proceedings of the Institution of Mechanical Engineers, Part D:Journal of Automobile Engineering, 2016, 230 (3): 291-307.
HUANG P C, ZHANG Z G, LUO X W, et al. Path tracking control of a differential-drive tracked robot based on look-ahead distance [J]. IFAC-PapersOnLine, 2018, 51 (17): 112-117.
NI J Y, WANG Y, LI H, et al. Path tracking motion control method of tracked robot based on improved LQR control[C]∥Proceedings of the 2022 41st Chinese Control Conference. Hefei, China:IEEE, 2022:2888-2893.
SEBASTIAN B, BEN-TZVI P. Physics based path planning for autonomous tracked vehicle in challenging terrain [J]. Journal of Intelligent & Robotic Systems, 2019, 95:511-526.
张彬,邹渊,张旭东,等.混动履带式无人平台轨迹跟踪控制研究[J].汽车工程,2023,45(4):579-587.
ZHANG B, ZOU Y, ZHANG X D, et al. Research on trajectory tracking control of hybrid tracked unmanned platform [J]. Automotive Engineering, 2023, 45 (4): 579-587. (in Chinese)
杨福威,孟红,朱强.基于模型预测控制的履带式无人平台轨迹跟踪控制算法研究[J].舰船电子工程,2018,38(3):44-50.
YANG F W, MENG H, ZHU Q.Research on trajectory tracking control algorithm of tracked unmanned platform based on model predictive control [J]. Ship Electronic Engineering, 2018, 38 (3): 44-50. (in Chinese)
HUSKIĆ G, BUCK S, HERRB M, et al. High-speed path following control of skid-steered vehicles [J]. The International Journal of Robotics Research, 2019, 38 (9): 1124-1148.
PENTZER J, BRENNAN S, REICHARD K. Model-based prediction of skid-steer robot kinematics using online estimation of track instantaneous centers of rotation [J]. Journal of Field Robotics, 2014, 31 (3): 455-476.
BEKKER M G. Land locomotion on the surface of planets [J]. ARS Journal, 1962, 32 (11): 1651-1659.
WONG J Y. Computer aided analysis of the effects of design parameters on the performance of tracked vehicles [J]. Journal of Terramechanics, 1986, 23 (2): 95-124.
WONG J Y. Expansion of the terrain input base for nepean tracked vehicle performance model, NTVPM, to accept swiss rammsonde data from deep snow [J]. Journal of Terramechanics, 1992, 29 (3): 341-357.
WONG J Y, CHIANG C F. A general theory for skid steering of tracked vehicles on firm ground [J]. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2001, 215 (3): 343-355.
TANG S X, YUAN S H, HU J B, et al. Modeling of steady-state performance of skid-steering for high-speed tracked vehicles [J]. Journal of Terramechanics, 2017, 73:25-35.
栗浩展,王红岩,芮强,等.履带车辆地面牵引力的计算与试验验证[J].装甲兵工程学院学报,2015,29(1):36-40.
LI H Z, WANG H Y, RUI Q, et al. Calculation and testing verification of ground traction of tracked vehicles [J]. Journal of Armored Force, 2015, 29 (1): 36-40. (in Chinese)
王红岩,陈冰,芮强,等.集中载荷作用下的履带车辆稳态转向分析与试验[J].兵工学报,2016,37(12):2196-2204.
WANG H Y, CHEN B, RUI Q, et al. Analysis and experiment of steady-state steering of tracked vehicle under concentrated load [J]. Acta Armamentarii, 2026, 37 (12): 2196- 2204. (in Chinese)
张发平,张书畅,武锴,等.基于代理模型进化的履带车辆动力学参数优化[J].兵工学报,2023,44(1):27-39.
ZHANG F P, ZHANG S C, WU K, et al. Dynamic parameter optimization for tracked vehicle based on surrogate model evolution [J]. Acta Armamentarii, 2023, 44 (1): 27-39. (in Chinese)
0
Views
27
下载量
0
CNKI被引量
Publicity Resources
Related Articles
Related Author
Related Institution
京公网安备11010802024360号