About this Abstract |
| Meeting |
2025 AWS Professional Program
|
| Symposium
|
2025 AWS Professional Program
|
| Presentation Title |
The Influence of Surface Roughness on the Quality of Ultrasonic Wire Bonding of Battery Cells |
| Author(s) |
Amin Moghaddas |
| On-Site Speaker (Planned) |
Amin Moghaddas |
| Abstract Scope |
As the demand for Electric Vehicles (EVs) surges, the efficiency and reliability of battery pack assembly become critical. Ultrasonic wire bonding (UWB) is widely used in battery pack manufacturing to ensure reliable electrical connections between cells and associated components. One of the key factors influencing bond quality in UWB is the roughness and cleanliness of the bonding surfaces. Previous research has shown that low-intensity laser cleaning improves wire bond quality in both clean and contaminated battery cells. However, bond strength decreases when higher-intensity laser cleaning is applied, possibly due to increased oxidation and/or surface roughness. This study employs a Design of Experiment (DOE) approach to develop a predictive model for estimating oxidation and surface roughness in laser-cleaned 21700 nickel-plated steel cells. The model has been applied to identify laser cleaning parameters that produce two distinct surface roughness levels while maintaining relatively low oxidation. The cleaned battery cells were wire bonded, and bond strength was evaluated using mechanical pull testing. The results highlight the sensitivity of the wire bonding process to slight variations in battery cell surface roughness. |
| Proceedings Inclusion? |
Undecided |