Open Access
Volume 40, Number 4, August 2022
Page(s) 918 - 925
Published online 30 September 2022
  1. ZHANG L, HU X, WANG Z, et al. Hybrid electrochemical energy storage systems: an overview for smart grid and electrified vehicle applications[J]. Renewable and Sustainable Energy Reviews, 2020, 139: 110581 [Google Scholar]
  2. WANG Y, SUN Z, CHEN Z. Development of energy management system based on a rule-based power distribution strategy for hybrid power sources[J]. Energy, 2019, 175: 1055–1066 [CrossRef] [Google Scholar]
  3. DAO V H, DINH T X, TRUONG A, et al. Optimization-based fuzzy energy management strategy for pem fuel cell/battery/supercapacitor hybrid construction excavator[J]. International Journal of Precision Engineering and Manufacturing-Green Technology, 2021, 8: 1267–1285. [Article] [CrossRef] [Google Scholar]
  4. MARZOUGUI H, KADRI A, MARTIN J P, et al. Implementation of energy management strategy of hybrid power source for electrical vehicle[J]. Energy Conversion & Management, 2019, 195: 830–843 [CrossRef] [Google Scholar]
  5. CHEN X P, HEWITT N, LI Z T, et al. Dynamic programming for optimal operation of a biofuel micro CHP-HES system[J]. Applied Energy, 2017, 208: 132–141. [Article] [CrossRef] [Google Scholar]
  6. YU S, LIN D, SUN Z, et al. Efficient model predictive control for real-time energy optimization of battery: supercapacitors in electric vehicles[J]. International Journal of Energy Research, 2020, 44(9): 7495–7506. [Article] [CrossRef] [Google Scholar]
  7. MESBAHI T, RIZOUG N, BARTHOLOMEVS P, et al. Optimal energy management for a Li-Ion battery/supercapacitor hybrid energy storage system based on a particle swarm optimization incorporating nelder-mead simplex approach[J]. IEEE Trans on Intelligent Vehicles, 2017, 2(2): 99–110 [Google Scholar]
  8. XU D, LIU J, YAN X G, et al. A novel adaptive neural network constrained control for multi-area interconnected power system with hybrid energy storage[J]. IEEE Trans on Industrial Electronics, 2018, 65(8): 6625–6634 [CrossRef] [Google Scholar]
  9. AHMADI S, BATHAEE S, HOSSEINPOUR A H. Improving fuel economy and performance of a fuel-cell hybrid electric vehicle (fuel-cell, battery, and ultra-capacitor) using optimized energy management strategy[J]. Energy Conversion and Management, 2018, 160: 74–84. [Article] [CrossRef] [Google Scholar]
  10. LI X, WANG Y, YANG D, et al. Adaptive energy management strategy for fuel cell/battery hybrid vehicles using pontryagin's minimal principle[J]. Journal of Power Sources, 2019, 440: 227105. [Article] [CrossRef] [Google Scholar]
  11. ODEIM F, ROES J, HEINZEL A. Power management optimization of a fuel cell/battery/supercapacitor hybrid system for transit bus applications[J]. IEEE Trans on Vehicular Technology, 2016, 65(7): 5783–5788. [Article] [CrossRef] [Google Scholar]
  12. JIANG Q, BÉTHOUX O, OSSART F, et al. A comparison of real-time energy management strategies of FC/SC hybrid power source: statistical analysis using random cycles[J]. International Journal of Hydrogen Energy, 2021, 46(63): 32192–32205. [Article] [CrossRef] [Google Scholar]
  13. EAST S, CANNON M. Optimal power allocation in battery/supercapacitor electric vehicles using convex optimization[J]. IEEE Trans on Vehicular Technology, 2020, 69(11): 12751–12762 [CrossRef] [Google Scholar]
  14. LI S, GU C, ZHAO P, et al. Adaptive energy management for hybrid power system considering fuel economy and battery longevity[J]. Energy Conversion and Management, 2021, 235: 114004. [Article] [CrossRef] [Google Scholar]
  15. SADEQ T, WAI C K, MORRIS E, et al. Optimal control strategy to maximize the performance of hybrid energy storage system for electric vehicle considering topography information[J]. IEEE Access, 2020, 8: 216994–217007. [Article] [CrossRef] [Google Scholar]
  16. WANG L, WANG Y, LIU C, et al. A power distribution strategy for hybrid energy storage system using adaptive model predictive control[J]. IEEE Trans on Power Electronics, 2020, 35(6): 5897–5906. [Article] [NASA ADS] [CrossRef] [Google Scholar]
  17. ZHAI C, LUO F, LIU Y. A novel predictive energy management strategy for electric vehicles based on velocity prediction[J]. IEEE Trans on Vehicular Technology, 2020, 69(11): 12559–12569. [Article] [CrossRef] [Google Scholar]
  18. KAI Y K, RAJENDRAN P. Differential-evolution control parameter optimization for unmanned aerial vehicle path planning[J]. Plos One, 2016, 11(3): e0150558. [Article] [CrossRef] [Google Scholar]
  19. MORADI M H, ABEDINI M, TOUSI S, et al. Optimal siting and sizing of renewable energy sources and charging stations simultaneously based on differential evolution algorithm[J]. International Journal of Electrical Power & Energy Systems, 2015, 73: 1015–1024 [CrossRef] [Google Scholar]

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