Insight into the Transient Behaviour of a Perovskite Solar Cell
Evelyne Knapp a, Martin Neukom a b, Beat Ruhstaller a b
a ICP, ZHAW, Wildbachstr. 21, Winterthur, 8401, Switzerland
nanoGe Perovskite Conferences
Proceedings of Perovskite Thin Film Photovoltaics (ABXPV17)
València, Spain, 2017 March 1st - 2nd
Organizers: Henk Bolink and David Cahen
Poster, Evelyne Knapp, 057
Publication date: 18th December 2016

The overwhelming interest in perovskite solar cells asks for an in-depth understanding of the underlying operation mechanisms. Device simulation is an important tool to shed light on the working principle of perovskite solar cells and thus facilitates the further optimization of the cells. Several attempts to model perovskite solar cells with a one dimensional drift-diffusion approach have been made in the recent past [1,2,3] by including ion migration in the model. In this contribution, we compare the different drift-diffusion modelling approaches [1,2,3] and investigate the influence of the model ingredients such as boundary conditions, mobile or static ion density and mobilities on the transient current response. We therefore solve the set of partial differential equations containing Poisson’s equation and the continuity equations for electrons, holes and mobile ions fully coupled with Newton’s algorithm in the time as well as frequency domain.To illustrate the beneficial use of this 1D drift-diffusion model, we analyse the transient simulation results such as the current response to a voltage step or to a light pulse over several orders of magnitude in time. Moreover, we study impedance spectroscopy data and the resulting capacitance and conductance. We discuss the evolution of charge carrier and ion distribution profiles over time. The transient response is altered significantly upon application of a pre-bias. In forward biasing conditions, the transient electroluminescence signal can be evaluated. The results are compared with transient measurements of planar perovskite solar cells and the pre-biasing conditions are considered.  

[1] G. Richardson et al., Energy Environ. Sci.,2016, 9, 1476-1485.

[2] P. Calado et al., ArXiv160600818. (2016).

[3] Neukom, HOPV2016.



© Fundació Scito
We use our own and third party cookies for analysing and measuring usage of our website to improve our services. If you continue browsing, we consider accepting its use. You can check our Cookies Policy in which you will also find how to configure your web browser for the use of cookies. More info