Comparison of daily operation strategies for a fuel cell/battery tram

Zhang, Wenbin; Xu, Liangfei; Li, Jianqiu; Ouyang, Minggao; Liu, Yuwen; Han, Qingjun; Li, Yankun

doi:10.1016/j.ijhydene.2017.04.151

Cited by 15 publications

(8 citation statements)

References 19 publications

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“…Moreover, due to the shortcomings of FCs, such as slow dynamic responses and wide output voltage ranges, auxiliary power sources (such as batteries) are required to act as external energy storage systems [3,4]. Therefore, DC-DC boost converters are utilized to achieve voltage decoupling and power distribution [5,6].…”

Section: Introductionmentioning

confidence: 99%

Review of DC-DC Converter Topologies Based on Impedance Network with Wide Input Voltage Range and High Gain for Fuel Cell Vehicles

Wang

Zhang

et al. 2021

Automot. Innov.

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The development of fuel cell vehicles (FCVs) has a major impact on improving air quality and reducing other fossil-fuel-related problems. DC-DC boost converters with wide input voltage ranges and high gains are essential to fuel cells and DC buses in the powertrains of FCVs, helping to improve the low voltage of fuel cells and “soft” output characteristics. To build DC-DC converters with the desired performance, their topologies have been widely investigated and optimized. Aiming to obtain the optimal design of wide input range and high-gain DC-DC boost converter topologies for FCVs, a review of the research status of DC-DC boost converters based on an impedance network is presented. Additionally, an evaluation system for DC-DC topologies for FCVs is constructed, providing a reference for designing wide input range and high-gain boost converters. The evaluation system uses eight indexes to comprehensively evaluate the performance of DC-DC boost converters for FCVs. On this basis, issues about DC-DC converters for FCVs are discussed, and future research directions are proposed. The main future research directions of DC-DC converter for FCVs include utilizing a DC-DC converter to realize online monitoring of the water content in FCs and designing buck-boost DC-DC converters suitable for high-power commercial FCVs.

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Section: Introductionmentioning

confidence: 99%

Review of DC-DC Converter Topologies Based on Impedance Network with Wide Input Voltage Range and High Gain for Fuel Cell Vehicles

Wang

Zhang

et al. 2021

Automot. Innov.

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“…R is the ideal gas constant, T is the battery temperature, Ah is the battery capacity, C bat is the nominal battery capacity, and ti is the time duration of the sample cycle. Equation (1) shows that as the C rate increases, the battery capacity loss increases exponentially. erefore, SC can help reduce the stress on the battery and improve battery lifetime significantly.…”

Section: Fuel Cell Hybrid Electric Systemmentioning

confidence: 99%

“…ey offer high-efficiency electrical power [1], less noise, and almost zeroemission compared with conventional internal combustion engines [2]. Usually, FCHES consists of a battery, supercapacitor (SC), and fuel cell (FC) [3].…”

Section: Introductionmentioning

confidence: 99%

A Modern Simple Power Prediction Index for Improving Battery Life

Dahmardeh

Rahimirad

Masih‐Tehrani

2022

International Transactions on Electrical Energy Systems

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Prediction of available energy storage power is essential for increasing the energy management performance of fuel cell hybrid electric systems (FCHES). A simple yet effective power prediction index is proposed to estimate the supercapacitor state of power. It prevents the supercapacitor’s total depletion in the battery/supercapacitor combination. Modern energy management is equipped with an equivalent consumption minimization strategy. The power prediction index is simple compared with other predictive algorithms while providing excellent efficiency compared with supercapacitor-based management strategies. A supercapacitor-based strategy is presented which extends battery life, at the cost of increased fuel consumption. However, it cannot predict the future low state of charge for the supercapacitor. In such conditions, the battery provides the demand power while fuel cells generate more current. On the other hand, the modern power prediction index energy management strategy significantly increases battery life without adding extra hardware. Moreover, fuel consumption decreased by 15.1 percent. The results show that the modern energy management strategy provides outstanding performance for battery life and fuel consumption compared with other energy management strategies due to its power limitation prediction.

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“…[16,17]. Current studies are conducted with the fixed power-demand [18]. In [19], the convexity of the specific consumption curve is applied to improve the fuel economy.…”

Section: Introductionmentioning

confidence: 99%

Net Hydrogen Consumption Minimization of Fuel Cell Hybrid Trains Using a Time-Based Co-Optimization Model

Meng

Zhang

et al. 2022

Energies

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With increasing concerns on transportation decarbonization, fuel cell hybrid trains (FCHTs) attract many attentions due to their zero carbon emissions during operation. Since fuel cells alone cannot recover the regenerative braking energy (RBE), energy storage devices (ESDs) are commonly deployed for the recovery of RBE and provide extra traction power to improve the energy efficiency. This paper aims to minimize the net hydrogen consumption (NHC) by co-optimizing both train speed trajectory and onboard energy management using a time-based mixed integer linear programming (MILP) model. In the case with the constraints of speed limits and gradients, the NHC of co-optimization reduces by 6.4% compared to the result obtained by the sequential optimization, which optimizes train control strategies first and then the energy management. Additionally, the relationship between NHC and employed ESD capacity is studied and it is found that with the increase of ESD capacity, the NHC can be reduced by up to 30% in a typical route in urban railway transit. The study shows that ESDs play an important role for FCHTs in reducing NHC, and the proposed time-based co-optimization model can maximize the energy-saving benefits for such emerging traction systems with hybrid energy sources, including both fuel cells and ESD.

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Comparison of daily operation strategies for a fuel cell/battery tram

Cited by 15 publications

References 19 publications

Review of DC-DC Converter Topologies Based on Impedance Network with Wide Input Voltage Range and High Gain for Fuel Cell Vehicles

Review of DC-DC Converter Topologies Based on Impedance Network with Wide Input Voltage Range and High Gain for Fuel Cell Vehicles

A Modern Simple Power Prediction Index for Improving Battery Life

Net Hydrogen Consumption Minimization of Fuel Cell Hybrid Trains Using a Time-Based Co-Optimization Model

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