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Research on catalysis of sodium-metallochlorophylls in Ni/MH battery

  • Articles/Physical Chemistry
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Chinese Science Bulletin

Abstract

The effects of sodium-metallochlorophylls including sodium-iron chlorophyllin, sodium-copper chlorophyllin and sodium-magnesium chlorophyllin on performance of Ni/MH battery were investigated. The results show that sodium-iron chlorophyllin can effectively activate the gases produced during charge in Ni/MH battery, therefore reducing the reduction potential of oxygen and the oxidation potential of hydrogen, and the increased speed of inner pressure of battery is decreased significantly. With the aid of DMol3 software, the activation process of oxygen and hydrogen by sodium- metallochlorophylls was simulated and analyzed. It was found that the catalysis behavior is in agreement with the experimental results, and the activation process also gets a reasonable explanation from the calculated results.

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References

  1. Ning Y, Loke Y, Mckinnon G. Fabrication and characterization of high g-force, silicon piezoresistive accelerometers. Sens Act A, 1995, 48: 55–61

    Article  Google Scholar 

  2. Atwell A R, Okojie R S, Kornegay K T, et al. Simulation, fabrication and testing of bulk micromachined 6H-SiC high-g piezoresistive accelerometers. Sens Act A, 2003, 104: 11–18

    Article  Google Scholar 

  3. Jiang Y Q, Du M H, Luo L, et al. Simulation of the potting effect on the high-g MEMS accelerometer. J Electro Mater, 2004, 33: 893–899

    Article  Google Scholar 

  4. Chae J, Kulah H, Najafi K. A monolithic three-axis micro-g micromachined silicon capacitive accelerometer. IEEE J MEMS, 2005, 14: 235–242

    Google Scholar 

  5. Rodjegard H, Johansson C, Enoksson P, et al. A monolithic three-axis SOI-accelerometer with uniform sensitivity. Sens Act A, 2005, 123-124: 50–53

    Article  Google Scholar 

  6. Amarasinghe R, Dao D V, Toriyama T, et al. Simulation, fabrication and characterization of a three-axis piezoresistive accelerometer. Smart Mater Struct, 2006, 15: 1691–1699

    Article  Google Scholar 

  7. Xu J B, Zhao Y L, Jiang Z D, et al. A monolithic multi-sensor for three-axis accelerometer, absolute pressure and temperature. IEEE Sens 2006, 2006. 1049–1052

  8. Hamaguchi H, Sugano K, Tsuchiya T, et al. A differential capacitive three-axis SOI accelerometer using vertical comb electrodes. In: The 14th Int. Conf. on Solid-State Sensors, Actuators and Microsystems, 2007. 1483–1486

  9. Perez M A, Shkel A M. Design and demonstration of a bulk micromachined Fabry-Pérot μg-resolution accelerometer. IEEE Sensors J, 2007, 7: 1653–1662

    Article  Google Scholar 

  10. Tran T D, Dao D V, Bui T T, et al. Optimum design considerations for a 3-DOF micro accelerometer using nanoscale piezoresistors. In: Proceedings of the 3rd IEEE International Conference on NEMS, 2008, Jan 6–9, Sanya. 770–773

  11. Ma A H, Leung A M. Three-axis thermal accelerometer based on buckled cantilever microstructure. In: IEEE SENSORS 2008 Conference, 2008, Oct 26–29, Lecce. 1492–1495

  12. Dong P T, Li X X, Yang H, et al. High-performance monolithic triaxial piezoresistive shock accelerometers. Sens Act A, 2008, 141: 339–346

    Article  Google Scholar 

  13. Colorni A, Dorigo M, Maniezzo V. Distributed optimization by ant colonies. In: Proceedings of ECAL91 1991, Paris. New York: Elsevier, 1991. 134–142

    Google Scholar 

  14. Karaboga N, Kalinli A, Karaboga D. Designing digital IIR filters using ant colony optimisation algorithm. Eng Appl Artif Inte, 2004, 17: 301–309

    Article  Google Scholar 

  15. Song F, Wen W D, Cui H T. Structural shape optimization based on an improved ant colony algorithm. Acta Aeronautica Et Astronautica Sinica, 2007, 28: 1110–1115

    Google Scholar 

  16. Aghdam M H, Aghaee N G, Basiri M E. Application of ant colony optimization for feature selection in text categorization. In: 2008 IEEE Congress on Evolutionary Computation, 2008, 2867–2873

  17. Stutzle T, Hoos H. The MAX-MIN ant system and local search for the traveling salesman problem. In: Proceedings of the 4th Int. Conf. on Evolutionary Computation (ICEC’97), 1997. 308–313

  18. Duan H B. Ant Colony Algorithms: Theory and Applications. Beijing: Science Press, 2005

    Google Scholar 

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Correspondence to Fang Wang.

Additional information

Supported by the State Key Development Prongram for Basic Research of China (Grant No. 2009CB220100) and National High-tech R & D Program of China (Grant No. 2007AA11A101).

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Wang, F., Wu, F., Chen, S. et al. Research on catalysis of sodium-metallochlorophylls in Ni/MH battery. Chin. Sci. Bull. 54, 3005–3013 (2009). https://doi.org/10.1007/s11434-009-0435-5

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  • DOI: https://doi.org/10.1007/s11434-009-0435-5

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