A Hybrid Energy Management Strategy based on Line Prediction and Condition Analysis for the Hybrid Energy Storage System of Tram

Wang, Yu; Yang, Zhongping; Lin, Fei; An, Xingkun; Zhou, Hongda; Fang, Xiaochun

doi:10.1109/tia.2020.2967312

Cited by 15 publications

(3 citation statements)

References 21 publications

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“…The application of HESS in the field of electric transportation has been widely studied [13,14]. In [15], Yu Wang et al explored into the optimization of energy management strategy for the tram equipped with on-board battery-supercapacitor HESS. Herrera et al [16] presented an adaptive energy management strategy based on fuzzy logic and the optimal sizing for a tramway with a HESS combining batteries and supercapacitors.…”

Section: Literature Overviewmentioning

confidence: 99%

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Optimization research on hybrid energy storage system of high‐speed railway

Yuan

2021

IET Generation Trans & Dist

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The regenerative braking energy generated during the braking of high-speed trains affects the power quality of the power grid. Recovery of regenerative braking energy is problem that needs to be solved urgently. The regenerative braking energy of high-speed railway features high power and high energy. It is difficult to recover it only by using high power density supercapacitors or high energy density batteries. In this paper, a hybrid energy storage system (HESS) composed of supercapacitors and lithium-ion batteries and its optimal configuration method are proposed for the purpose of obtaining maximum economic benefits for railroad systems. Then the economic benefits when using the HESS and the single energy storage system are compared from the perspective of whether the regenerative braking energy is fully recycled or not. Finally, a simulation analysis with actual load of a high-speed railway station is performed. The highest benefit is achieved when the regenerative braking energy is partially recovered by the HESS, which can save 3% of the total cost per day and pay back the cost in eight years.

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Section: Literature Overviewmentioning

confidence: 99%

“…The application of HESS in the field of electric transportation has been widely studied [13, 14]. In [15], Yu Wang et al. explored into the optimization of energy management strategy for the tram equipped with on‐board battery‐supercapacitor HESS.…”

Section: Introductionmentioning

confidence: 99%

Optimization research on hybrid energy storage system of high‐speed railway

Yuan

2021

IET Generation Trans & Dist

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“…The FC-SC hybrid tramway has high design costs and a long construction period, and most studies adopt simulations or scaled-down experiments; therefore, the control strategy of the experimental verification needs to be improved [15][16][17]. As a safe, fast, reliable and economical real-time verification technology, the hardware-in-the-loop simulation has been widely used in power electronics, electric vehicles, robots and automatic control, which can ensure the verification results of the proposed method [18,19].…”

Section: Introductionmentioning

confidence: 99%

Energy management strategy based on dynamic programming with durability extension for fuel cell hybrid tramway

et al. 2021

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This paper proposes an energy management strategy for a fuel cell (FC) hybrid power system based on dynamic programming and state machine strategy, which takes into account the durability of the FC and the hydrogen consumption of the system. The strategy first uses the principle of dynamic programming to solve the optimal power distribution between the FC and supercapacitor (SC), and then uses the optimization results of dynamic programming to update the threshold values in each state of the finite state machine to realize real-time management of the output power of the FC and SC. An FC/SC hybrid tramway simulation platform is established based on RT-LAB real-time simulator. The compared results verify that the proposed EMS can improve the durability of the FC, increase its working time in the high-efficiency range, effectively reduce the hydrogen consumption, and keep the state of charge in an ideal range.

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