Numerical investigation on the energy management strategies of a series hybrid unmanned multirotor aerial vehicle
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摘要:
以最大输出功率为14.9 kW、功质比为2.8的活塞发动机作为主动力源搭建了多旋翼无人机准静态飞行串联混合动力系统功率模型,针对最大起飞质量80 kg级的多旋翼无人机进行了飞行性能模拟计算,重点比较不同能量管理策略的节油效果,并进一步探索多旋翼无人机起飞电池容量和燃油量对经济性和续航能力的影响。结果表明:在荷电状态保持约束下,减少电池上的能量损耗能够降低混动无人机油耗,且最小等效能量消耗策略表现较好;短航时条件下一定比例的电池容量有利于节油,但长航时条件下所用电池能量比例越大,油耗越大,系统经济性越差;载重越大,任务时间越短,则系统的燃油经济性越好。
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关键词:
- 串联混动 /
- 多旋翼无人机 /
- 最小等效能量消耗策略 /
- 能量管理 /
- 动态规划
Abstract:Hybrid power system for UAV (unmanned aerial vehicle) based on a two-stroke engine with a maximum power of 14.9 kW and a power-to-mass ratio of 2.8 was investigated. An in-house quasi-static UAV model including the series hybrid powertrain system and different energy management strategies was developed to characterize the performance of a multi-rotor UAV with 80 kg maximum takeoff weight. The UAV performance was compared using two different energy management strategies and dynamic-programing optimal solutions, then the effects of payloads and battery energies on the fuel consumption and flight duration of an UAV with defined flight profiles were investigated. It was found that an ideal energy management strategy should avoid high-power battery charging and discharging resulting in less power loss of the battery system, and that Equivalent Consumption Minimum Strategy exhibited lower fuel consumption than Rule-Based Strategy. The fuel consumption increased by using more battery energy in a long flight mission due to the low energy density of the battery, while larger payload and shorter flight duration led to higher system efficiency. Despite of anticipated increment in battery power density in the future, hybrid UAVs still exhibit longer flight duration capability than the electrical ones.
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表 1 旋翼模型相关参数
Table 1. Propeller model parameters
参数 数值 桨盘直径Dp/m 0.72 螺距Hp/m 0.30 桨叶数Bp 2 展弦比A 5 Oswald因子e 0.83 零升阻力系数Cfd 0.015 表 2 电动机、电调模型相关参数
Table 2. Motor and ESC model parameters
参数 数值 电动机Kv值Kv0/(r/(min∙V)) 172 电动机标称空载电压Um0/V 44 电动机标称空载电流Im0/A 1.65 电动机内阻Rm/Ω 0.021 电调内阻Re/Ω 0 发电系统等效内阻Rn/Ω 0.1 动力电路电压Un/V 60 表 3 DA215型发动机部分参数
Table 3. Basic properties of DA215 pistol engine
参数 数值 最大功率/kW 14.9 压缩比 7.6 发动机主体质量/g 4950 最低比油耗/ (g/(kW·h)) 552 表 4 波动工况下总油耗和发动机平均功率对比
Table 4. Comparison of average engine power and net fuel consumption under fluctuation
策略 油耗/kg 发动机平均功率/W Rule-Based 1.366 11075 DP 1.285 10490 ECMS 1.340 10911 表 5 平稳工况下总油耗和发动机平均功率对比
Table 5. Comparison of average engine power and net fuel consumption under steady working condition
策略 油耗/kg 发动机平均功率/W Rule-Based 1.099 10200 DP 1.013 9470 ECMS 1.062 9870 -
[1] 赵伟,王正平,张晓辉,等. 面向疫情防控的无人机关键技术综述[J]. 无人系统技术,2020,3(3): 8-18.ZHAO Wei,WANG Zhengping,ZHANG Xiaohui,et al. A review on key technologies of UAV for epidemic prevention and control[J]. Unmanned Systems Technology,2020,3(3): 8-18. (in Chinese) [2] DERUYCK M, WYCKMANS J, MARTENS L, et al. Emergency ad-hoc networks by using drone mounted base stations for a disaster scenario[C]//Proceedings of IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications. Piscataway, US: IEEE, 2016: 1-7. [3] 王刚,胡峪,宋笔锋,等. 电动无人机动力系统优化设计及航时评估[J]. 航空动力学报,2015,30(8): 1834-1840.WANG Gang,HU Yu,SONG Bifeng,et al. Optimal design and endurance estimation of propulsion system for electric-powered unmanned aerial vehicle[J]. Journal of Aerospace Power,2015,30(8): 1834-1840. (in Chinese) [4] 丁正原. 基于油电混合动力的倾转四旋翼飞行器总体方案设计[D]. 南京: 南京航空航天大学, 2020.DING Zhengyuan. Overall design of quad tiltrotor based on hybrid fuel-electric power[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2020. (in Chinese) [5] NANDA A. The propulsive design aspects on the world’s first direct drive hybrid airplane[D]. Daytona Beach, US: Embry-Riddle Aeronautical University, 2011. [6] FRIEDRICH C,ROBERTSON P A. Hybrid-electric propulsion for aircraft[J]. Journal of Aircraft,2015,52(1): 176-189. doi: 10.2514/1.C032660 [7] BRELJE B J,MARTINS J R R A. Electric, hybrid, and turboelectric fixed-wing aircraft: a review of concepts, models, and design approaches[J]. Progress in Aerospace Sciences,2019,104: 1-19. doi: 10.1016/j.paerosci.2018.06.004 [8] HAGEMAN M D, WISNIEWSKI C. Development and analysis of a group 1 UAV series hybrid power system with two engine options[R]. AIAA2016-5011, 2016. [9] HAGEMAN M D, MCLAUGHLIN T E. Considerations for pairing the IC engine and electric motor in a hybrid power system for small UAVs[R]. AIAA2018-2132, 2018. [10] XIE Ye,SAVVARIS A,TSOURDOS A. Fuzzy logic based equivalent consumption optimization of a hybrid electric propulsion system for unmanned aerial vehicles[J]. Aerospace Science and Technology,2019,85: 13-23. doi: 10.1016/j.ast.2018.12.001 [11] XIE Ye,SAVVARISAL A,TSOURDOS A,et al. Review of hybrid electric powered aircraft, its conceptual design and energy management methodologies[J]. Chinese Journal of Aeronautics,2021,34(4): 432-450. doi: 10.1016/j.cja.2020.07.017 [12] 胡春明,李诚,刘娜,等. 无人机增程式电推进系统双模糊能量管理策略仿真[J]. 航空动力学报,2021,36(12): 2652-2662.HU Chunming,LI Cheng,LIU Na,et al. Simulation on dual-fuzzy energy management strategy of UAV extended range electric propulsion system[J]. Journal of Aerospace Power,2021,36(12): 2652-2662. (in Chinese) [13] 赵家豪,魏民祥,丁玉章,等. 增程式APU混沌退火混合粒子群优化模糊PID动态控制[J]. 航空动力学报,2021,36(6): 1213-1221.ZHAO Jiahao,WEI Minxiang,DING Yuzhang,et al. Dynamic control strategy of extended-range APU based on fuzzy PID optimized by CAHPSO[J]. Journal of Aerospace Power,2021,36(6): 1213-1221. (in Chinese) [14] 全权. 多旋翼飞行器设计与控制[M]. 北京: 电子工业出版社, 2018. [15] MOFFITT B, BRADLEY T, PAREKH D, et al. Validation of vortex propeller theory for UAV design with uncertainty analysis[R]. AIAA2008-406, 2008. [16] BANGURA M, LIM H, KIM H J, et al. Aerodynamic power control for multirotor aerial vehicles[C]//Proceedings of IEEE International Conference on Robotics and Automation. Piscataway, US: IEEE, 2014: 529-536. [17] HOBBY K. Turnigy RotoMax 50cc Size Brushless Outrunner Motor[EB/OL] (2023-10-17). [2021-06-28]. https://hobbyking.com/en_us/turnigy-rotomax-50cc-size-brushless-outrunner-motor.html?___store=en_us. [18] ZENG Yong,XU Jie,ZHANG Rui. Energy minimization for wireless communication with rotary-wing UAV[J]. IEEE Transactions on Wireless Communications,2019,18(4): 2329-2345. doi: 10.1109/TWC.2019.2902559 [19] HUNG J Y,GONZALEZ L F. On parallel hybrid-electric propulsion system for unmanned aerial vehicles[J]. Progress in Aerospace Sciences,2012,51: 1-17. doi: 10.1016/j.paerosci.2011.12.001 [20] MERICAL K,BEECHNER T,YELVINGTON P. Hybrid-electric, heavy-fuel propulsion system for small unmanned aircraft[J]. SAE International Journal of Aerospace,2014,7(1): 126-134. doi: 10.4271/2014-01-2222 [21] SZIROCZAK D,JANKOVICS I,GAL I,et al. Conceptual design of small aircraft with hybrid-electric propulsion systems[J]. Energy,2020,204: 117937.1-117937.18. [22] 欧阳明高, 李建秋, 杨福源. 汽车新型动力系统: 构型、建模与控制[M]. 北京: 清华大学出版社, 2008. [23] 侯聪. 基于出行特征的插电式混合动力汽车能耗评价与优化[D]. 北京: 清华大学, 2014.HOU Cong. Evaluation and optimization of energy consumption based on driving patterns for plug-in hybrid electric vehicle[D]. Beijing: Tsinghua University, 2014. (in Chinese) [24] HE Hongwen,XIONG Rui,FAN Jinxin. Evaluation of lithium-ion battery equivalent circuit models for state of charge estimation by an experimental approach[J]. Energies,2011,4(4): 582-598. doi: 10.3390/en4040582 [25] PENG Hujun,LI Jianxiang,LÖWENSTEIN L,et al. A scalable, causal, adaptive rule-based energy management for fuel cell hybrid railway vehicles[J]. Applied Energy,2020,267: 114987.1-114987.15. [26] ZHU Jianyun,CHEN Li,WANG Xuefeng,et al. Bi-level optimal sizing and energy management of hybrid electric propulsion systems[J]. Applied Energy,2020,260: 114134.1-114134.15.