The storage of electrical energy is an important issue for the implementation of a clean energy project. Because of its high electrical storage density, lithium battery technology is usually favoured. The feasibility of a project using lithium batteries must consider the necessary dimensioning, the operating conditions and the aging of the components. To do this, designers must be equipped with modelling tools that simulate the dynamic parameters of the batteries. An analysis system that considers wear and operating conditions should be considered for long-term viable electrical storage.
Electro-chemical and physical simulation models are complex to solve and they require many internal parameters from the chemical cells. To counter these difficulties, an electric cycle-aging of lithium batteries has been developed. This simple tool can model aging in addition to the evolution of the battery’s parameters based on equivalent cycle counting. This document focuses on the experimental validation of this generic aging model.
An aging protocol is established to obtain the necessary parameters for the simulator. This procedure causes the batteries to age at three temperatures and at several charging and discharging rates on five LiFePO4 cells and five LiNiMnCoO2 cells. Parameter identification required 40 days to 6 months of laboratory tests for the LFP battery and 1 month for the NMC battery. These experimental results are then compared to the outputs of the aging model to check its predictive capacity until the end of battery life (10 to 20% loss of capacity).
The validation has shown that the simulation results are within a margin of error of less than 2% compared to experimental trials. Furthermore, the proposed aging model is compared to the Ah-throughput model. The results obtained show a better accuracy of the proposed model against the Ah-throughput method to the variation of the DOD and the charging rate.
| Date | 11 Dec 2018 |
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| Original language | French |
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| Awarding Institution | - École de technologie supérieure
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| Supervisor | Louis-A. Dessaint (Supervisor) |
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Lachance, E. (Author),
Dessaint (Supervisor),
11 Dec 2018Student thesis: Master's thesis › Master in Engineering: Electrical Engineering