Electric batteries, Vol. 7, Pages 74: Optimization of Disassembly Techniques for Electric Vehicle Batteries
Batteries doi: 10. 3390/batteries7040074
Writers: Sabri Baazouzi Felix John Rist Max Weeber Kai Peter Birke
Numerous studies show that electrification, incorporated into a circular economic climate, is vital to reach lasting mobility solutions. In this context, the circular use of electric vehicle batteries (EVBs) is particularly relevant because of the resource intensity throughout manufacturing. After reaching the end-of-life phase, EVBs can be exposed to various circular economy strategies, all of which require the previous disassembly. Today, disassembly is carried out manually and represents a bottleneck process. At the same time, exceedingly high return volumes are forecast for the next few years, and manual disassembly is connected with safety risks. That is why automated disassembly is identified as being a key enabler of highly efficient circularity. However, several challenges need to be addressed to make sure secure, economic, and ecological disassembly processes. One of these is ensuring that optimal disassembly strategies are determined, considering the uncertainties during disassembly. This paper introduces our design for an adaptive disassembly planner with the integrated disassembly strategy optimizer. Furthermore, we present our optimization method for obtaining optimal disassembly strategies as a mixture of three decisions: (1) the perfect disassembly sequence, (2) the optimal disassembly depth, and (3) the optimal circular economy strategy at the component level. Finally, we apply the proposed method to derive optimal disassembly strategies for one selected battery system for two condition scenarios. The results show that the optimization of disassembly strategies should also be used as a tool in the design phase of battery systems to boost the disassembly automation and thus contribute to achieving profitable circular economy solutions for EVBs.