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Optimization design and analysis of Si-^(63)Ni betavoltaic battery 被引量:11

Optimization design and analysis of Si-^(63)Ni betavoltaic battery
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摘要 Among the various micro-powers being investigated, betavoltaic batteries are very attractive for numerous applications because of their advantages of high energy density, long life, strong anti-interference, and so on. Based on the basic principle of the betavoltaic effect, the current paper adopted the Monte Carlo N-Particle code to simulate the transport processes of β particles in semiconductor materials and to establish the calculation formulas for nuclear radiation-generated current, open circuit voltage, and so on. By discussing the effect of minority carrier diffusion length, doping concentration, and junction depth on the property of batteries, the present work concluded that the best parameters for batteries are the use of silicon and the radioisotope Ni-63, i.e., Ni-63 with a mass thickness of 1 mg/cm2, Na=1×1019 cm-3, Nd=3.16×1016 cm-3, junction area of 1 cm2, junction depth of 0.3 μm, and so on. Under these parameters the short-circuit current, open circuit voltage, output power, and conversion efficiency are 573.3 nA, 0.253 V, 99.85 nW, and 4.94%, respectively. Such parameters are valuable for micro-power fields, such as micro-electromechanical systems and pacemakers, among others.
出处 《Science China(Technological Sciences)》 SCIE EI CAS 2012年第4期990-996,共7页 中国科学(技术科学英文版)
基金 supported by the China Postdoctoral Science Foundation Funded Project (Grant No. 20100481140) the Nanjing University of Aeronautics and Astronautics Basic Research Funded Project (Grant No. Y1065-063)
关键词 betavoltaic semiconductor material radioisotope battery 镍63 电池 优化设计 放射性同位素 粒子模拟 开路电压 短路电流 抗干扰能力
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