IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v307y2024ics0360544224025088.html
   My bibliography  Save this article

An energy management strategy for fuel cell hybrid electric vehicle based on HHO-BiLSTM-TCN-self attention speed prediction

Author

Listed:
  • Pan, Mingzhang
  • Fu, Changcheng
  • Cao, Xinxin
  • Guan, Wei
  • Liang, Lu
  • Li, Ding
  • Gu, Jinkai
  • Tan, Dongli
  • Zhang, Zhiqing
  • Man, Xingjia
  • Ye, Nianye
  • Qin, Haifeng

Abstract

This research aims to improve the performance and economics of fuel cell hybrid electric vehicles (FCHEVs), validated and established by introducing an innovative energy management strategy (EMS) based on a speed-predictive fusion model. Firstly, a mixed prediction model was built based on BiLSTM, TCN, and Self-attention (SA) mechanism to accurately search, capture and fuse multi-granularity features in time series. Then, Harris-Hawk Optimization (HHO) was used to optimize the dropout rate and model learning rate of the combined BiLSTM-TCN-SA time series model to improve the prediction accuracy and generalization ability of the model. Finally, stochastic model predictive control was combined with BiLSTM-TCN-SA to form SMPC-NSGA III algorithm, which was used for multi-objective optimization of fuel economy, fuel cell durability and battery durability. In this study, the effectiveness of the proposed strategy was verified under the condition of CLTC-P driving cycle. The experimental results showed that RMSE and R2 of HHO-BiLSTM-TCN-SA velocity prediction model are 1.169 and 0.998, respectively. In addition, the output of the model is within the confidence interval of 97.5 % of the real speed, and there is no significant difference, which is statistically significant. Under the SMPC-NSGA III strategy, the average efficiency of the fuel cell was increased by 12 % and 1 % respectively.

Suggested Citation

  • Pan, Mingzhang & Fu, Changcheng & Cao, Xinxin & Guan, Wei & Liang, Lu & Li, Ding & Gu, Jinkai & Tan, Dongli & Zhang, Zhiqing & Man, Xingjia & Ye, Nianye & Qin, Haifeng, 2024. "An energy management strategy for fuel cell hybrid electric vehicle based on HHO-BiLSTM-TCN-self attention speed prediction," Energy, Elsevier, vol. 307(C).
    • Handle: RePEc:eee:energy:v:307:y:2024:i:c:s0360544224025088
    DOI: 10.1016/j.energy.2024.132734
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224025088
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.132734?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chen, Zheng & Gu, Hongji & Shen, Shiquan & Shen, Jiangwei, 2022. "Energy management strategy for power-split plug-in hybrid electric vehicle based on MPC and double Q-learning," Energy, Elsevier, vol. 245(C).
    2. Sun, Chao & Sun, Fengchun & He, Hongwen, 2017. "Investigating adaptive-ECMS with velocity forecast ability for hybrid electric vehicles," Applied Energy, Elsevier, vol. 185(P2), pages 1644-1653.
    3. Yao, Yongming & Wang, Jie & Zhou, Zhicong & Li, Hang & Liu, Huiying & Li, Tianyu, 2023. "Grey Markov prediction-based hierarchical model predictive control energy management for fuel cell/battery hybrid unmanned aerial vehicles," Energy, Elsevier, vol. 262(PA).
    4. Gu, Bo & Shen, Huiqiang & Lei, Xiaohui & Hu, Hao & Liu, Xinyu, 2021. "Forecasting and uncertainty analysis of day-ahead photovoltaic power using a novel forecasting method," Applied Energy, Elsevier, vol. 299(C).
    5. Guo, Lingxiong & Zhang, Xudong & Zou, Yuan & Guo, Ningyuan & Li, Jianwei & Du, Guodong, 2021. "Cost-optimal energy management strategy for plug-in hybrid electric vehicles with variable horizon speed prediction and adaptive state-of-charge reference," Energy, Elsevier, vol. 232(C).
    6. Quan, Shengwei & He, Hongwen & Chen, Jinzhou & Zhang, Zhendong & Han, Ruoyan & Wang, Ya-Xiong, 2023. "Health-aware model predictive energy management for fuel cell electric vehicle based on hybrid modeling method," Energy, Elsevier, vol. 278(PA).
    7. Ren, Lei & Zhou, Sheng & Ou, Xunmin, 2020. "Life-cycle energy consumption and greenhouse-gas emissions of hydrogen supply chains for fuel-cell vehicles in China," Energy, Elsevier, vol. 209(C).
    8. Suri, Girish & Onori, Simona, 2016. "A control-oriented cycle-life model for hybrid electric vehicle lithium-ion batteries," Energy, Elsevier, vol. 96(C), pages 644-653.
    9. Ou, Xunmin & Xiaoyu, Yan & Zhang, Xiliang, 2011. "Life-cycle energy consumption and greenhouse gas emissions for electricity generation and supply in China," Applied Energy, Elsevier, vol. 88(1), pages 289-297, January.
    10. Han, Jie & Liu, Wenxue & Zheng, Yusheng & Khalatbarisoltani, Arash & Yang, Yalian & Hu, Xiaosong, 2023. "Health-conscious predictive energy management strategy with hybrid speed predictor for plug-in hybrid electric vehicles: Investigating the impact of battery electro-thermal-aging models," Applied Energy, Elsevier, vol. 352(C).
    11. Li, Daofei & Jiang, Yangye & Shen, Yijie, 2024. "Intersection eco-driving for automated vehicles: SMPC-based strategies for handling leading vehicle starting-up uncertainties," Energy, Elsevier, vol. 302(C).
    12. Zhang, Zhiqing & Wang, Su & Pan, Mingzhang & Lv, Junshuai & Lu, Kai & Ye, Yanshuai & Tan, Dongli, 2024. "Utilization of hydrogen-diesel blends for the improvements of a dual-fuel engine based on the improved Taguchi methodology," Energy, Elsevier, vol. 292(C).
    13. Zhang, Zhiqing & Lv, Junshuai & Xie, Guanglin & Wang, Su & Ye, Yanshuai & Huang, Gaohua & Tan, Donlgi, 2022. "Effect of assisted hydrogen on combustion and emission characteristics of a diesel engine fueled with biodiesel," Energy, Elsevier, vol. 254(PA).
    14. Ren, Lei & Zhou, Sheng & Peng, Tianduo & Ou, Xunmin, 2021. "A review of CO2 emissions reduction technologies and low-carbon development in the iron and steel industry focusing on China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    15. Ye, Jiahao & Yang, Wenming & Peng, Qingguo & Liu, Haili, 2024. "Improvement and prediction of particles emission from diesel particulate filter based on an integrated artificial neural network," Energy, Elsevier, vol. 294(C).
    16. Wang, Hailin & Ou, Xunmin & Zhang, Xiliang, 2017. "Mode, technology, energy consumption, and resulting CO2 emissions in China's transport sector up to 2050," Energy Policy, Elsevier, vol. 109(C), pages 719-733.
    17. Wu, Tian & Han, Xiao & Zheng, M. Mocarlo & Ou, Xunmin & Sun, Hongbo & Zhang, Xiong, 2020. "Impact factors of the real-world fuel consumption rate of light duty vehicles in China," Energy, Elsevier, vol. 190(C).
    18. Gao, Sichen & Zong, Yuhua & Ju, Fei & Wang, Qun & Huo, Weiwei & Wang, Liangmo & Wang, Tao, 2024. "Scenario-oriented adaptive ECMS using speed prediction for fuel cell vehicles in real-world driving," Energy, Elsevier, vol. 304(C).
    19. Ren, Lei & Zhou, Sheng & Ou, Xunmin, 2023. "The carbon reduction potential of hydrogen in the low carbon transition of the iron and steel industry: The case of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    20. Quan, Shengwei & Wang, Ya-Xiong & Xiao, Xuelian & He, Hongwen & Sun, Fengchun, 2021. "Real-time energy management for fuel cell electric vehicle using speed prediction-based model predictive control considering performance degradation," Applied Energy, Elsevier, vol. 304(C).
    21. Ren, Lei & Zhou, Sheng & Peng, Tianduo & Ou, Xunmin, 2022. "Greenhouse gas life cycle analysis of China's fuel cell medium- and heavy-duty trucks under segmented usage scenarios and vehicle types," Energy, Elsevier, vol. 249(C).
    22. Jinquan, Guo & Hongwen, He & Jianwei, Li & Qingwu, Liu, 2021. "Real-time energy management of fuel cell hybrid electric buses: Fuel cell engines friendly intersection speed planning," Energy, Elsevier, vol. 226(C).
    23. Peng, Qingguo & Ye, Jiahao & Kang, Zhuang, 2024. "Optimization of diesel oxidation catalyst for enhanced emission reduction in engines," Energy, Elsevier, vol. 290(C).
    24. Wang, Hao & Peng, Qingguo & Tian, Xinghua & Yan, Feng & Wei, Depeng & Liu, Hui, 2024. "Experimental and numerical investigation on H2-fueled micro-thermophotovoltaic with CH4 and C3H8 blending in a tube fully/partially inserted porous media," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    25. Guan, Wei & Gu, Jinkai & Pan, Xiubin & Pan, Mingzhang & Wang, Xinyan & Zhao, Hua & Tan, Dongli & Fu, Changcheng & Pedrozo, Vinícius B. & Zhang, Zhiqing, 2024. "Improvement of the light-load combustion control strategy for a heavy-duty diesel engine fueled with diesel/methonal by RSM-NSGA III," Energy, Elsevier, vol. 297(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Zhiqing & Li, Dongmei & Lan, Guanglin & Yin, Zibin & Pan, Mingzhang & Jiang, Feng & Li, Junming & Tan, Dongli, 2024. "Development and evaluation of mechanistic model for standard SCR, fast SCR, and NO2 SCR of NH3-SCR over Cu-ZSM-5," Energy, Elsevier, vol. 306(C).
    2. Zhang, Zhiqing & Liu, Hui & Yang, Dayong & Li, Junming & Lu, Kai & Ye, Yanshuai & Tan, Dongli, 2024. "Performance enhancements of power density and exergy efficiency for high-temperature proton exchange membrane fuel cell based on RSM-NSGA III," Energy, Elsevier, vol. 301(C).
    3. Zhang, Zhiqing & Hu, Jingyi & Yang, Dayong & Yin, Zibin & Lu, Kai & Tan, Dongli, 2024. "A comprehensive assessment over the environmental impact and combustion efficiency of using ammonia/ hydrogen/diesel blends in a diesel engine," Energy, Elsevier, vol. 303(C).
    4. Zhang, Zhiqing & Zhong, Weihuang & Mao, Chengfang & Xu, Yuejiang & Lu, Kai & Ye, Yanshuai & Guan, Wei & Pan, Mingzhang & Tan, Dongli, 2024. "Multi-objective optimization of Fe-based SCR catalyst on the NOx conversion efficiency for a diesel engine based on FGRA-ANN/RF," Energy, Elsevier, vol. 294(C).
    5. Jia, Guohai & Gao, Sheng & Shu, Xiong & Ren, Bing & Zhang, Bin & Ma, Guangyu & Zhang, Jian & Liu, Hui & Li, Dongmei, 2024. "Multi-objective optimization of emission parameters of a diesel engine using oxygenated fuel and pilot injection strategy based on RSM-NSGA III," Energy, Elsevier, vol. 293(C).
    6. Guan, Wei & Gu, Jinkai & Pan, Xiubin & Pan, Mingzhang & Wang, Xinyan & Zhao, Hua & Tan, Dongli & Fu, Changcheng & Pedrozo, Vinícius B. & Zhang, Zhiqing, 2024. "Improvement of the light-load combustion control strategy for a heavy-duty diesel engine fueled with diesel/methonal by RSM-NSGA III," Energy, Elsevier, vol. 297(C).
    7. Zhang, Zhiqing & Wang, Su & Pan, Mingzhang & Lv, Junshuai & Lu, Kai & Ye, Yanshuai & Tan, Dongli, 2024. "Utilization of hydrogen-diesel blends for the improvements of a dual-fuel engine based on the improved Taguchi methodology," Energy, Elsevier, vol. 292(C).
    8. Zhang, Zhiqing & Hu, Jingyi & Tan, Dongli & Li, Junming & Jiang, Feng & Yao, Xiaoxue & Yang, Dixin & Ye, Yanshuai & Zhao, Ziheng & Yang, Guanhua, 2023. "Multi-objective optimization of the three-way catalytic converter on the combustion and emission characteristics for a gasoline engine," Energy, Elsevier, vol. 277(C).
    9. Tan, Dongli & Li, Dongmei & Wang, Su & Zhang, Zhiqing & Tian, Jie & Li, Jiangtao & Lv, Junshuai & Zheng, Wenling & Ye, Yanshuai, 2023. "Evaluation and optimization of hydrogen addition on the performance and emission for biodiesel dual-fuel engines with different blend ratios based on the response surface method," Energy, Elsevier, vol. 283(C).
    10. Ma, Wenyao & Gao, Sheng & Liu, Hui & Li, Dongmei, 2024. "The improvements of a diesel engine fueled with renewable and sustainable diesel/n-butanol/polyoxymethylene dimethyl ethers blended fuels at high altitudes," Energy, Elsevier, vol. 289(C).
    11. Zhang, Zhiqing & Dong, Rui & Tan, Dongli & Duan, Lin & Jiang, Feng & Yao, Xiaoxue & Yang, Dixin & Hu, Jingyi & Zhang, Jian & Zhong, Weihuang & Zhao, Ziheng, 2023. "Effect of structural parameters on diesel particulate filter trapping performance of heavy-duty diesel engines based on grey correlation analysis," Energy, Elsevier, vol. 271(C).
    12. Gao, Sheng & Zhang, Yanhui & Zhang, Zhiqing & Tan, Dongli & Li, Junming & Yin, Zibin & Hu, Jingyi & Zhao, Ziheng, 2023. "Multi-objective optimization of the combustion chamber geometry for a highland diesel engine fueled with diesel/n-butanol/PODEn by ANN-NSGA III," Energy, Elsevier, vol. 282(C).
    13. Tan, Yan & E, Jiaqiang & Kou, Chuanfu & Feng, Changlin & Han, Dandan, 2024. "Effects of critical structure parameters on conversion performance enhancement of a Pd–Rh dual-carrier catalytic converter for heavy-duty natural gas engines," Energy, Elsevier, vol. 303(C).
    14. Tan, Dongli & Dong, Rui & Zhang, Zhiqing & Zhang, Bin & Jiang, Feng & Ye, Yanshuai & Li, Dongmei & Liu, Hui, 2024. "Multi-objective impact mechanism on the performance characteristic for a diesel particulate filter by RF-NSGA III-TOPSIS during soot loading," Energy, Elsevier, vol. 286(C).
    15. Ma, Ying & Wei, Rongrong & Zuo, Hongyan & Zuo, Qingsong & Luo, Xiaoyu & Chen, Ying & Wu, Shuying & Chen, Wei, 2024. "N-doped EG@MOFs derived porous carbon composite phase change materials for thermal optimization of Li-ion batteries at low temperature," Energy, Elsevier, vol. 286(C).
    16. Tan, Dongli & Meng, Yujun & Tian, Jie & Zhang, Chengtao & Zhang, Zhiqing & Yang, Guanhua & Cui, Shuwan & Hu, Jingyi & Zhao, Ziheng, 2023. "Utilization of renewable and sustainable diesel/methanol/n-butanol (DMB) blends for reducing the engine emissions in a diesel engine with different pre-injection strategies," Energy, Elsevier, vol. 269(C).
    17. Ren, Lei & Zhou, Sheng & Ou, Xunmin, 2023. "The carbon reduction potential of hydrogen in the low carbon transition of the iron and steel industry: The case of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    18. Wang, Libiao & Zuo, Hongyan & Zhang, Bin & Jia, Guohai, 2024. "Effects of the cold plate with airfoil fins on the cooling performance enhancement of the prismatic LiFePO4 battery pack," Energy, Elsevier, vol. 296(C).
    19. Tan, Dongli & Wu, Yao & Lv, Junshuai & Li, Jian & Ou, Xiaoyu & Meng, Yujun & Lan, Guanglin & Chen, Yanhui & Zhang, Zhiqing, 2023. "Performance optimization of a diesel engine fueled with hydrogen/biodiesel with water addition based on the response surface methodology," Energy, Elsevier, vol. 263(PC).
    20. E, Shengxin & Cui, Yaxin & Liu, Yuxian & Yin, Huichun, 2023. "Effects of the different phase change materials on heat dissipation performances of the ternary polymer Li-ion battery pack in hot climate," Energy, Elsevier, vol. 282(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:307:y:2024:i:c:s0360544224025088. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.