Research on Hydrogen Consumption and Driving Range of Hydrogen Fuel Cell Vehicle under the CLTC-P Condition
Zhijie Duan,Nan Mei,Lili Feng,Shuguang Yu,Zengyou Jiang,Dongfang Chen,Xiaoming Xu,Jichao Hong +7 more
3
TL;DR: This study proposes a test method to measure hydrogen consumption of fuel cell vehicles under CLTC-P conditions, achieving accurate results with reduced test time and cost, and demonstrating consistency with actual mileage.
read more
Abstract: Hydrogen consumption and mileage are important economic indicators of fuel cell vehicles. Hydrogen consumption is the fundamental reason that restricts mileage. Since there are few quantitative studies on hydrogen consumption during actual vehicle operation, the high cost of hydrogen consumption in outdoor testing makes it impossible to guarantee the accuracy of the test. Therefore, this study puts forward a test method based on the hydrogen consumption of fuel cell vehicles under CLTC-P operating conditions to test the hydrogen consumption of fuel cell vehicles per 100 km. Finally, the experiment shows that the mileage calculated by hydrogen consumption has a higher consistency with the actual mileage. Based on this hydrogen consumption test method, the hydrogen consumption can be accurately measured, and the test time and cost can be effectively reduced.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Lightweight Type-IV Hydrogen Storage Vessel Boss Based on Optimal Sealing Structure
Wen‐Zhu Shao,J.S. Wang,Donghai Hu,Dagang Lu,Yinjie Xu +4 more
TL;DR: The weight and seal performance of the Type IV hydrogen storage vessel boss are optimized by dividing the upper and lower areas into different manufacturing processes and using topology optimization techniques. The results show that the weight of the optimized boss is reduced by 9.6%.
Regenerative Braking of Electric Vehicles Based on Fuzzy Control Strategy
Zongjun Yin,Xuegang Ma,Rong Su,Zicheng Huang,Chunying Zhang +4 more
TL;DR: Results verify the effectiveness of the regenerative braking control strategy proposed in this paper, and demonstrate that in six typical cycling road conditions, the energy saving efficiency of electric vehicles has greatly increased.
A Logic Threshold Control Strategy to Improve the Regenerative Braking Energy Recovery of Electric Vehicles
Zongjun Yin,Xuegang Ma,Chunying Zhang,Rong Su,Qingqing Wang +4 more
TL;DR: A logic threshold control strategy significantly improves the regenerative braking energy recovery of electric vehicles by optimizing the braking force distribution between the front and rear axles based on the motor torque characteristics, battery charging power, braking strength, battery state of charge, and vehicle speed.
References
New roads and challenges for fuel cells in heavy-duty transportation
David A. Cullen,Kenneth C. Neyerlin,Rajesh K. Ahluwalia,Rangachary Mukundan,Karren L. More,Rodney L. Borup,Adam Z. Weber,Deborah J. Myers,Ahmet Kusoglu +8 more
TL;DR: In this paper, the authors summarized the latest market outlooks and targets for truck, bus, locomotive, and marine applications and discussed the necessary improvements in fuel-cell materials and integration.
714
Fault prognosis of battery system based on accurate voltage abnormity prognosis using long short-term memory neural networks
TL;DR: A novel deep-learning-enabled method to perform accurate multi-forward-step voltage prediction for battery systems is investigated using long short-term memory (LSTM) recurrent neural network, the first of its kind to apply the LSTM to voltage prediction and fault prognosis of the battery system.
304
Online accurate state of health estimation for battery systems on real-world electric vehicles with variable driving conditions considered
TL;DR: A novel deep-learning-enabled method to perform accurate state of health estimation for battery systems on real-world electric vehicles that can be used to full-state and full-climate vehicle applications unrestricted by complex actual environments is investigated.
136
Approaches to avoid flooding in association with pressure drop in proton exchange membrane fuel cells
TL;DR: In this article, the specific approaches, including regulating fuel cell temperature, inlet pressure, and inlet relative humidity (RH), were adopted to fulfill this strategy in case the real cathodic pressure drop (PD) surpasses the theoretical control line.
101
Nonlinear methods for evaluating and online predicting the lifetime of fuel cells
TL;DR: In this article, a linear formula to evaluate the maximum service lifetime of fuel cells for vehicle applications and several nonlinear formulas to predict the lifetime of proton exchange membrane (PEM) fuel cells are presented.
61