Subjects -> ENERGY (Total: 414 journals)
    - ELECTRICAL ENERGY (12 journals)
    - ENERGY (252 journals)
    - ENERGY: GENERAL (7 journals)
    - NUCLEAR ENERGY (40 journals)
    - PETROLEUM AND GAS (58 journals)
    - RENEWABLE ENERGY (45 journals)

ENERGY: GENERAL (7 journals)

Showing 1 - 7 of 7 Journals sorted alphabetically
Energy Research Journal     Open Access   (Followers: 3)
Greenhouse Gases : Science and Technology     Hybrid Journal   (Followers: 4)
International Journal of Energy Optimization and Engineering     Hybrid Journal   (Followers: 3)
International Journal of Powertrains     Hybrid Journal   (Followers: 2)
International Journal of Renewable Energy Development     Open Access   (Followers: 6)
Journal of Power Technologies     Open Access   (Followers: 6)
Journal of Thermophysics and Heat Transfer     Hybrid Journal   (Followers: 95)
Similar Journals
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International Journal of Powertrains
Number of Followers: 2  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1742-4267 - ISSN (Online) 1742-4275
Published by Inderscience Publishers Homepage  [439 journals]
  • Fuzzy logic based power-split hybrid propulsion control system using
           digital twin assisted parallel learning

    • Free pre-print version: Loading...

      Authors: Ji Li, Quan Zhou, Huw Williams, Hongming Xu, Xu He
      Pages: 288 - 302
      Abstract: This paper explores an innovative concept of cyber-physical real-time optimisation, in which a digital twin-assisted parallel learning (DTPL) mechanism is proposed to improve the performance of a fuzzy logic (FL-) based power-split hybrid propulsion control system in terms of stability and energy consumption. This mechanism enables parallel learning between the actual supervisor and its digital twin in real driving situations. If the virtual controller dominates the driving process, the new parameter functions are synchronised to the real controller at the same time. Based on an analysis of the conformation of the hybrid propulsion model and its FL-based control system, a chaos-enhanced accelerated particle swarm optimisation algorithm is applied to the parallel learning of the membership functions. By hardware-in-the-loop testing, the result shows that the DTPL-driven control system leads to better fuel economy. Fuel consumption can be reduced by up to 15% compared to a system using charge sustaining and charge depleting strategy, and by up to 12% compared to a system using FL control strategy over an in-house driving cycle collected from the driving simulator.
      Keywords: digital twin; fuzzy logic control system; hybrid electric propulsion powertrain; online energy management
      Citation: International Journal of Powertrains, Vol. 11, No. 4 (2022) pp. 288 - 302
      PubDate: 2022-12-20T23:20:50-05:00
      DOI: 10.1504/IJPT.2022.127858
      Issue No: Vol. 11, No. 4 (2022)
       
  • Review of patented hybrid powertrain technologies for commercial vehicles
           in the USA

    • Free pre-print version: Loading...

      Authors: Ji Li, Quan Zhou, Huw Williams, Hongming Xu, Xu He
      Pages: 303 - 328
      Abstract: In the automotive industry, hybridisation is a growing indispensable technology to improve fuel efficiency and reduce emissions for passenger cars and other light-duty vehicles. However, from the perspective of the commercial vehicles, the hybrid technology achieves a very limited success only in some niche applications such as buses and delivery trucks, even though for decades hybrid powertrains have been developed relentlessly for commercial vehicles. Looking into 2024 and beyond, the GHG and emission regulation will become stricter. Now it is a right time to re-visit those patented hybrid technologies dedicated for medium- and heavy-duty (MHD) trucks. This paper intends to survey those patents approved in US Patent and Trademark Office (USPTO). The review can help interested parties to better understand the status quo of the hybrid technologies for commercial vehicles as well as the trend for the coming decade.
      Keywords: patent; hybrid powertrain; MHD; commercial vehicle; truck; USA
      Citation: International Journal of Powertrains, Vol. 11, No. 4 (2022) pp. 303 - 328
      PubDate: 2022-12-20T23:20:50-05:00
      DOI: 10.1504/IJPT.2022.127860
      Issue No: Vol. 11, No. 4 (2022)
       
  • Editing road load spectrum of hybrid transmission system under
           comprehensive driving cycles

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      Authors: Junwei Zhao, Yanfang Liu, Xiangyang Xu, Peng Dong, Shuhan Wang, Jing Ma, Shutao Yao, Xiaoyu Li
      Pages: 329 - 343
      Abstract: In order to effectively obtain the loading condition of the bench test of the hybrid transmission system (HTS) and provide load input for fatigue damage analysis of components, the structural model of the HTS was constructed to obtain the wheel end torque corresponding to different working modes under 13 different driving cycles. By eliminating invalid data, counting cyclic load frequency by rain-flow counting method, and extrapolating rain-flow matrix, the strengthened load spectrum corresponding to different working modes was obtained. According to the eight-level classification method, the continuous amplitude distribution was equivalent to the constant load. The final loading time was 185.98 h, which provided a benchmark load spectrum for the subsequent fatigue damage study of HTS components.
      Keywords: hybrid transmission system; HTS; load spectrum; rain-flow counting; bench test
      Citation: International Journal of Powertrains, Vol. 11, No. 4 (2022) pp. 329 - 343
      PubDate: 2022-12-20T23:20:50-05:00
      DOI: 10.1504/IJPT.2022.127866
      Issue No: Vol. 11, No. 4 (2022)
       
  • Remaining useful life prediction of PEM fuel cell based on particle filter
           under idling conditions

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      Authors: Yijun Wang, Tiancai Ma, Ming Cong, Kai Wang, Yi Chen, Boyu Du
      Pages: 344 - 364
      Abstract: To evaluate the health state of fuel cell under idling conditions, it is important to make remaining useful life (RUL) prediction. In this paper, three sets of fuel cell idling accelerated aging experiments with different cathode relative humidity (RH) were carried out, and the reference voltage and electrochemical active surface area (ECSA) in the first 200 hours were obtained. Three mathematical models of linear, exponential, and logarithmic were used in the particle filter framework to predict the reference voltage drop, and the RULs of three cells were calculated. After verification with measured voltage, conclusion was drawn; that the expectant lifetime is the longest under 75% cathode RH. Both too low and too high RH will accelerate the degradation. This conclusion was further verified by the polarisation curve and ECSA data. Finally, a reasonable explanation for different degradation speeds caused by different cathode RH from perspective of mechanism was proposed.
      Keywords: PEM fuel cell; particle filter; remaining useful life prediction; idling condition
      Citation: International Journal of Powertrains, Vol. 11, No. 4 (2022) pp. 344 - 364
      PubDate: 2022-12-20T23:20:50-05:00
      DOI: 10.1504/IJPT.2022.127867
      Issue No: Vol. 11, No. 4 (2022)
       
  • Sensitivity analysis and calibration of vehicle HVAC

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      Authors: Ahmed Ahmedov, Andrew Watson, Kambiz Ebrahimi, Nilabza Dutta
      Pages: 365 - 389
      Abstract: The 1D CFD implemented in complex vehicle models running on multiple software domains via co-simulation is presented. A two-zone cabin compartment model capable of predicting the average thermal conditions during various drive cycles has been created. Sensitivity analysis was carried out to identify the parameters with a significant impact on the cabin thermal response. The cabin model has been calibrated and validated with thermal performance test data. The validated cabin model and a 1D CFD refrigeration circuit model have been integrated into the baseline HVAC system model. The baseline HVAC system performance has been validated against climate chamber physical test data. A theoretical performance comparison between the baseline HVAC system and an electrified HeVAC system have been carried out. The key difference between the systems is that the HVAC system uses a conventional mechanically driven swashplate compressor and the HeVAC system uses a high-efficiency electric scroll compressor. The CoP and the cabin thermal response have been evaluated for both systems.
      Keywords: cabin compartment modelling; sensitivity analysis; mechanical A/C compressor; electric A/C compressor; model calibration; model validation; heating ventilation and air conditioning; HVAC; HeVAC; GT-Suite; hybrid vehicles; electric vehicles
      Citation: International Journal of Powertrains, Vol. 11, No. 4 (2022) pp. 365 - 389
      PubDate: 2022-12-20T23:20:50-05:00
      DOI: 10.1504/IJPT.2022.127868
      Issue No: Vol. 11, No. 4 (2022)
       
 
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