In this paper we focus on the aspect of the expected functionality of multi-agent systems. We argue that intention-awareness is a technique to improve the trustworthiness of the expected functionality of multi-agent systems. The coordination of the charging station selections of electric vehicles is a large-scale and open multi-agent application. Aggregated intention-aware technology is good choice for the coordination of systems with a lot of agents, because the influence of a single agent on the aggregation is small, and the temptation to submit deceptive intention diminishes. Centralized intention aggregation may become a weak point. We propose a decentralized intention-aware approach using distributed constraint optimization algorithms to coordinate the charging station selection of electric vehicles. We show in a simulated scenario that the distributed intention-aware technique improves the quality of the solution provided by the multi-agent system, and thus improves the trustworthiness of the expected functionality of the system. We evaluate the solution with several distributed constraint optimization algorithms.