Abstract
The purpose of this paper is to study the evolution of
emerging technological paths in the automotive industry.
Worldwide patent data from the years 1990-2010 was
collected and utilised to define the technological life
cycles of the electric and fuel cell vehicle
technologies. The novelty of our study is practicing the
patent analysis approach using text mining techniques to
collect patents according to their concepts in the
automotive industry. The patent analysis results are
compared to existing literature and expert opinion
studies in alternative fuel vehicles field. The findings
suggest that the development of electric vehicles will be
quicker with a higher R&D share, compared to hydrogen
vehicles. By gathering data and insights, the paper also
offers general views on future automotive technology
trajectories.
| Original language | English |
|---|---|
| Pages (from-to) | 20-40 |
| Journal | International Journal of Energy Technology and Policy |
| Volume | 12 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2016 |
| MoE publication type | A1 Journal article-refereed |
Keywords
- technology forecasting
- patent analysis
- text mining
- technology life cycle
- electric vehicles
- hydrogen vehicles
- zero emission vehicles
- patents
- automotive technology
- automobile industry
- technology trajectories