The emergence of the Internet of Things (IoT) has brought new improvement and development opportunities to the automotive industry, such as electric vehicles (EVs). EVs are well-known for their short ranges and many studies have reported on the challenges of trip planning and accurate remaining driving range (RDR) estimation. While the demand for connected vehicle applications and its enabling technology has progressed significantly in recent years, there are several constraints for connected and collaborative vehicle application deployments. Data integration issues are currently hindering the development of effective trip planning and RDR estimation solutions for drivers of EVs. Additional constraints have been identified in developing countries, including lack of charging station networks, EV data sources, and software applications. The purpose of this paper is to report on some of the main issues hindering EV data integration, as well as to report on an implementation in South Africa of a Data Integration Platform for EV data using the IoT. The findings show that data integration issues primarily relate to data availability, data quality, and interoperability between devices, IoT platforms, and EV service providers. The paper also identifies enabling technologies, drivers, and future directions for researchers in the IoT and EV domains.