Experimental validation of a predictive energy management strategy for agricultural fuel cell electric tractors

被引:7
|
作者
Varlese, Christian [1 ]
Ferrara, Alessandro [2 ]
Hametner, Christoph [3 ]
Hofmann, Peter [1 ]
机构
[1] TU Wien, Inst Powertrains & Automot Technol, Vienna, Austria
[2] TU Wien, Inst Mech & Mechatron, Div Proc Control & Automat, A-1060 Vienna, Austria
[3] TU Wien, Inst Software Technol & Interact Syst, Vienna, Austria
关键词
Energy management; Fuel cell electric vehicle; Fuel cell agricultural machinery; Agricultural duty; ION BATTERIES; HYBRID; VEHICLES; CONSUMPTION; LIFETIME;
D O I
10.1016/j.ijhydene.2024.06.097
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Efficiency and durability are critical challenges for the large-scale adoption of fuel cell powertrains in agricultural tractors due to the demanding nature of farm-related tasks. This study presents a novel predictive energy management strategy that uses forecasts of the average load of the farming cycle to achieve stationary fuel cell operation, thus limiting degradation caused by load cycling, high-power, and low-power operation. The recurrent characteristics exhibited by agricultural duty cycles allow the calculation of highly accurate average load prediction, which can be sufficient for a predictive energy management strategy to reduce degradation without hindering fuel consumption. As a result, this forecast is utilized in conjunction with a straightforward and real-time-capable energy management strategy, which foresees the operation of the fuel cell system at the level of the average load. The work is structured into two main contributions: model-based design of the energy management strategy, and experimental validation on a fuel cell powertrain testbed. Three typical agricultural duty cycles were studied to evaluate the benefits of the proposed strategy, demonstrating that energy management strategies can mitigate fuel cell degradation without compromising system efficiency. In particular, the predictive energy management strategy offers the potential to mitigate the negative impact of tractor operational idling time at the headland turns through the reduction of fuel consumption, thereby enhancing overall tractor performance. The experimental powertrain setup stands as an innovative contribution within the research landscape concerning fuel cell powertrains for tractors and validates the benefits of the proposed strategy. Furthermore, the conducted testbed analyses assume significance in highlighting the effects of the energy management strategy on the physical fuel cell operating factors and emphasizing the comprehensive benefits across the powertrain system, particularly with regard to the thermal management of the fuel cell system, where the prevention of derating is achievable through the implementation of the proposed energy management approach. Overall, the findings of this study have important implications for the development of sustainable and efficient farming procedures through the adoption of fuel cell technology in agricultural machinery.
引用
收藏
页码:1 / 14
页数:14
相关论文
共 50 条
  • [1] Predictive fuel cell thermal management for fuel cell electric tractors
    Varlese, Christian
    Haslinger, Maximilian
    Junger, Christian
    Konrad, Johannes
    Krizan, Rudolf
    Hametner, Christoph
    Hofmann, Peter
    APPLIED THERMAL ENGINEERING, 2025, 268
  • [2] Real-vehicle experimental validation of a predictive energy management strategy for fuel cell vehicles
    Kofler, Sandro
    Rammer, Georg
    Schnabel, Alexander
    Weingrill, David
    Bardosch, Peter
    Jakubek, Stefan
    Hametner, Christoph
    JOURNAL OF POWER SOURCES, 2025, 629
  • [3] An Add-On Model Predictive Control Strategy for the Energy Management of Hybrid Electric Tractors
    Radrizzani, Stefano
    Panzani, Giulio
    Trezza, Luca
    Pizzocaro, Solomon
    Savaresi, Sergio M.
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (02) : 1918 - 1930
  • [4] Optimal Calibration of an Adaptive and Predictive Energy Management Strategy for Fuel Cell Electric Trucks
    Ferrara, Alessandro
    Zendegan, Saeid
    Koegeler, Hans-Michael
    Gopi, Sajin
    Huber, Martin
    Pell, Johannes
    Hametner, Christoph
    ENERGIES, 2022, 15 (07)
  • [5] Health-conscious predictive energy management strategy for fuel cell electric trucks
    Ferrara, Alessandro
    Hametner, Christoph
    Jakubek, Stefan
    ENERGY REPORTS, 2024, 12 : 5961 - 5973
  • [6] Energy management strategy of fuel cell electric vehicles
    Sun Y.
    Xia C.-G.
    Yin B.-F.
    Han J.-Y.
    Gao H.-Y.
    Liu J.
    Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2022, 52 (09): : 2130 - 2138
  • [7] Hierarchical Energy Management and Energy Saving Potential Analysis for Fuel Cell Hybrid Electric Tractors
    Lei, Shenghui
    Li, Yanying
    Liu, Mengnan
    Li, Wenshuo
    Zhao, Tenglong
    Hou, Shuailong
    Xu, Liyou
    ENERGIES, 2025, 18 (02)
  • [8] Design and Experimental Validation of a Scaled Test Bench for the Emulation of a Hybrid Fuel Cell Powertrain for Agricultural Tractors
    Martini, Valerio
    Mocera, Francesco
    Soma, Aurelio
    APPLIED SCIENCES-BASEL, 2023, 13 (15):
  • [9] Adaptive Energy Management Strategy of Fuel Cell Electric Vehicle
    Sun, Yan
    Xia, Changgao
    Yin, Bifeng
    Yu, Yingxiao
    Han, Jiangyi
    Gao, Haiyu
    INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 2022, 23 (05) : 1393 - 1403
  • [10] Adaptive Energy Management Strategy of Fuel Cell Electric Vehicle
    Yan Sun
    Changgao Xia
    Bifeng Yin
    Yingxiao Yu
    Jiangyi Han
    Haiyu Gao
    International Journal of Automotive Technology, 2022, 23 : 1393 - 1403