Optimal energy management strategy of fuel‐cell battery hybrid electric mining truck to achieve minimum lifecycle operation costs

2020 ◽  
Vol 44 (13) ◽  
pp. 10797-10808
Author(s):  
Yanbiao Feng ◽  
Zuomin Dong
Keyword(s):  
Fuel Cell ◽  
Energy Management ◽  
Management Strategy ◽  
Energy Management Strategy ◽  
Optimal Energy ◽  
Operation Costs ◽  
Optimal Energy Management ◽  
Hybrid Electric

Optimal energy management strategy for fuel cell/battery/supercapacitor vehicles using wavelet transform and equivalent consumption minimization strategy

2021 ◽  
pp. 095440702110697
Author(s):  
Pengfei Zou ◽  
Fazhan Tao ◽  
Zhumu Fu ◽  
Pengju Si ◽  
Chao Ma
Keyword(s):  
Wavelet Transform ◽  
Fuel Cell ◽  
Energy Management ◽  
Fuel Economy ◽  
Management Strategy ◽  
Low Frequency ◽  
Energy Management Strategy ◽  
Power Sources ◽  
Optimal Energy ◽  
Optimal Energy Management

In this paper, the hybrid electric vehicle is equipped with fuel cell/battery/supercapacitor as the research object, the optimal energy management strategy (EMS) is proposed by combining wavelet transform (WT) method and equivalent consumption minimization strategy (ECMS) for reducing hydrogen consumption and prolonging the lifespan of power sources. Firstly, the WT method is employed to separate power demand of vehicles into high-frequency part supplied by supercapacitor and low-frequency part allocated to fuel cell and battery, which can effectively reduce the fluctuation of fuel cell and battery to prolong their lifespan. Then, considering the low-frequency power, the optimal SOC of battery is used to design the equivalent factor of the ECMS method to improve the fuel economy. The proposed hierarchical EMS can realize a trade-off between the lifespan of power sources and fuel economy of vehicles. Finally, the effectiveness of the proposed EMS is verified by ADVISOR, and comparison results are given compared with the traditional ECMS method and ECMS combining the filter.

Optimal energy management of a fuel cell-battery-supercapacitor-powered hybrid tramway using a multi-objective approach

2019 ◽  
Vol 234 (5) ◽  
pp. 511-523 ◽  
Author(s):  
Han Zhang ◽  
Jibin Yang ◽  
Jiye Zhang ◽  
Pengyun Song ◽  
Ming Li
Keyword(s):  
Fuel Cell ◽  
Energy Management ◽  
Management Strategy ◽  
Operating Cost ◽  
Cell System ◽  
Energy Management Strategy ◽  
Multi Objective ◽  
Optimal Energy ◽  
Optimal Energy Management ◽  
Fuel Costs

Achieving an optimal operating cost is a challenge for the development of hybrid tramways. In the past few years, in addition to fuel costs, the lifespan of the power source is being increasingly considered as an important factor that influences the operating cost of a tramway. In this work, an optimal energy management strategy based on a multi-mode strategy and optimisation algorithm is described for a high-power fuel cell hybrid tramway. The objective of optimisation is to decrease the operating costs under the conditions of guaranteeing tramway performance. Besides the fuel costs, the replacement cost and initial investment of all power units are also considered in the cost model, which is expressed in economic terms. Using two optimisation algorithms, a multi-population genetic algorithm and an artificial fish swarm algorithm, the hybrid system's power targets for the energy management strategy were acquired using the multi-objective optimisation. The selected case study includes a low-floor light rail vehicle, and experimental validations were performed using a hardware-in-the-loop workbench. The results testify that an optimised energy management strategy can fulfil the operational requirements, reduce the daily operation costs and improve the efficiency of the fuel cell system for a hybrid tramway.

scholarly journals Design of an instantaneous optimal energy management strategy for a dual-axis-parallel plug-in hybrid electric vehicle

2017 ◽  
Vol 139 ◽  
pp. 00034
Author(s):  
Yan Zhengjun ◽  
Wang Weida ◽  
Li Hongcai ◽  
Han Lijin ◽  
Lv Yong ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Energy Management ◽  
Management Strategy ◽  
Hybrid Electric Vehicle ◽  
Energy Management Strategy ◽  
Optimal Energy ◽  
Axis Parallel ◽  
Optimal Energy Management ◽  
Hybrid Electric

Trip-oriented stochastic optimal energy management strategy for plug-in hybrid electric bus

Energy ◽  
2016 ◽  
Vol 115 ◽  
pp. 1259-1271 ◽  
Author(s):  
Yongchang Du ◽  
Yue Zhao ◽  
Qinpu Wang ◽  
Yuanbo Zhang ◽  
Huaicheng Xia
Keyword(s):  
Energy Management ◽  
Management Strategy ◽  
Energy Management Strategy ◽  
Hybrid Electric Bus ◽  
Optimal Energy ◽  
Electric Bus ◽  
Optimal Energy Management ◽  
Hybrid Electric

scholarly journals Optimal Energy Management Strategy for a Plug-in Hybrid Electric Vehicle Based on Road Grade Information

Energies ◽  
2017 ◽  
Vol 10 (4) ◽  
pp. 412 ◽  
Author(s):  
Yonggang Liu ◽  
Jie Li ◽  
Ming Ye ◽  
Datong Qin ◽  
Yi Zhang ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Energy Management ◽  
Management Strategy ◽  
Hybrid Electric Vehicle ◽  
Energy Management Strategy ◽  
Optimal Energy ◽  
Road Grade ◽  
Optimal Energy Management ◽  
Hybrid Electric

Adaptive real-time optimal energy management strategy based on equivalent factors optimization for plug-in hybrid electric vehicle

2017 ◽  
Vol 203 ◽  
pp. 883-896 ◽  
Author(s):  
Chao Yang ◽  
Siyu Du ◽  
Liang Li ◽  
Sixong You ◽  
Yiyong Yang ◽  
...  
Keyword(s):  
Real Time ◽  
Electric Vehicle ◽  
Energy Management ◽  
Management Strategy ◽  
Hybrid Electric Vehicle ◽  
Energy Management Strategy ◽  
Optimal Energy ◽  
Time Optimal ◽  
Optimal Energy Management ◽  
Hybrid Electric

scholarly journals Global Optimal Energy Management Strategy Research for a Plug-In Series-Parallel Hybrid Electric Bus by Using Dynamic Programming

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Hongwen He ◽  
Henglu Tang ◽  
Ximing Wang
Keyword(s):  
Energy Management ◽  
Management Strategy ◽  
State Variables ◽  
Energy Management Strategy ◽  
Hybrid Electric Bus ◽  
Optimal Energy ◽  
Electric Bus ◽  
Optimal Energy Management ◽  
Global Optimal ◽  
Hybrid Electric

Energy management strategy influences the power performance and fuel economy of plug-in hybrid electric vehicles greatly. To explore the fuel-saving potential of a plug-in hybrid electric bus (PHEB), this paper searched the global optimal energy management strategy using dynamic programming (DP) algorithm. Firstly, the simplified backward model of the PHEB was built which is necessary for DP algorithm. Then the torque and speed of engine and the torque of motor were selected as the control variables, and the battery state of charge (SOC) was selected as the state variables. The DP solution procedure was listed, and the way was presented to find all possible control variables at every state of each stage in detail. Finally, the appropriate SOC increment is determined after quantizing the state variables, and then the optimal control of long driving distance of a specific driving cycle is replaced with the optimal control of one driving cycle, which reduces the computational time significantly and keeps the precision at the same time. The simulation results show that the fuel economy of the PEHB with the optimal energy management strategy is improved by 53.7% compared with that of the conventional bus, which can be a benchmark for the assessment of other control strategies.

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