According to research from Cap HPI, the cost of electricvehicles (EVs) has risen by 18% since 2013. However, the higher investment intothese vehicles does mean drivers have access to more technology and performance.

The research reviewed base models of the BMW i3, Kia SoulElectric, Nissan Leaf, and Renault Zoe, all within a price range of £18,000 to£35,000. The number of models in this category has jumped 360% since 2012 andnow accounts for 23 models and 132 derivatives. EVs now have 48% more batterylife, 60% extended range and 25% improvement in higher engine performance.

Due to the rising market demand for this growing sector, CapHPI increased the data volumes available for battery EVs significantly in the past12 months. It also included new data fields in fast charging information andbattery capacity as part of a major upgrade to EV data in general. In turn, CapHPI believes this will aid the automotive industry in providing more accuratevaluations, more accurate vehicle identification and “a host of other dataservices”.

The current EV data offers a detailed list of fields,outlining several variables within the category. The new set of fields isavailable in three formats:

·       NVD SQL

·       NVD CSV (Car Enhanced Technical CSV)

·       NVD JSON (Car Enhanced Technical) JSON

Updates will be regularly made alongside the standard enginetypes currently available and EV content is also available through Cap HPI webservices, Valuation Anywhere, and cap Connect.

Head of Vehicle Identification at Cap HPI, Jon Clay, expanded:“We continue to invest and innovate to ensure the industry has the depth andaccuracy of data required to work efficiently.

“Advancements in technology mean the process of harnessingnew vehicle data is speeding up and can be used in new ways to drive a digitalcustomer journey. The pace of changes continues to accelerate with the numberof EV derivatives doubling in the last year.

“As technology advances, Cap HPI will continue to look atnew ways to use the data for the benefit of customers across the supply chain.”