The automotive industry continues to be a hotbed of innovation, with activity driven by the need for vehicle emission control, and environmentally friendly vehicles and growing importance of technologies such as sensors, artificial intelligence, machine learning and autonomous vehicles. In the last three years alone, there have been over 1.2 million patents filed and granted in the automotive industry, according to GlobalData’s report on Environmental sustainability in Automotive: EV discharge prediction. Buy the report here.
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However, not all innovations are equal and nor do they follow a constant upward trend. Instead, their evolution takes the form of an S-shaped curve that reflects their typical lifecycle from early emergence to accelerating adoption, before finally stabilising and reaching maturity.
Identifying where a particular innovation is on this journey, especially those that are in the emerging and accelerating stages, is essential for understanding their current level of adoption and the likely future trajectory and impact they will have.
290+ innovations will shape the automotive industry
According to GlobalData’s Technology Foresights, which plots the S-curve for the automotive industry using innovation intensity models built on over 619,000 patents, there are 290+ innovation areas that will shape the future of the industry.
Within the emerging innovation stage, EV discharge prediction, fuel cell ion exchange membranes, and hydrogen ICE fuel tanks are disruptive technologies that are in the early stages of application and should be tracked closely. V2G smart metering, silicon-air batteries, and zeolites for exhaust filtering are some of the accelerating innovation areas, where adoption has been steadily increasing. Among maturing innovation areas are HEV propulsion systems and wind-powered vehicles, which are now well established in the industry.
Innovation S-curve for environmental sustainability in the automotive industry
EV discharge prediction is a key innovation area in environmental sustainability
While driving, EV batteries go through cycles of "discharge," and they "charge," when the car is plugged in. The remaining usable life of lithium-ion batteries in electric cars is estimated using AI algorithms.
GlobalData’s analysis also uncovers the companies at the forefront of each innovation area and assesses the potential reach and impact of their patenting activity across different applications and geographies. According to GlobalData, there are 110 companies, spanning technology vendors, established automotive companies, and up-and-coming start-ups engaged in the development and application of EV discharge prediction.
Key players in EV discharge prediction – a disruptive innovation in the automotive industry
‘Application diversity’ measures the number of different applications identified for each relevant patent and broadly splits companies into either ‘niche’ or ‘diversified’ innovators.
‘Geographic reach’ refers to the number of different countries each relevant patent is registered in and reflects the breadth of geographic application intended, ranging from ‘global’ to ‘local’.
Patent volumes related to EV discharge prediction
Source: GlobalData Patent Analytics
Toyota is a leading patent filer in the EV discharge prediction market and has applied for 456 patents. The company is experimenting with new approaches that use a machine learning model to forecast the life of a lithium-ion battery. The model can categorise batteries as having a long or short life expectancy based solely on the initial five cycles of charge and discharge. iRobot, Ford, and Porsche Automobil are a few of the top companies that file patents in the same field.
To further understand how environmental sustainability is disrupting the automotive industry, access GlobalData’s latest thematic research report on Automotive.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData’s Patent Analytics tracks patent filings and grants from official offices around the world. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
