In the article, “Research on Compound Braking Control Strategy of Extended-Range Electric Vehicle Based on Driving Intention Recognition,” Wanman Li discusses the implications of compound braking control based on the driver’s intention using a predictive model. By training an HMM model on a dataset about driver intentions and driver actions, Li is able to use the model to determine what action the driver would possibly take, whether it is Regenerative Braking, Mechanical Braking, or a combination of the two on four different wheels (16 total combinations). By predicting and acting on the predicted driver intentions, Li is able to program the car in order to save energy.
This article is able to support my thesis by providing new and novel technologies that researchers are exploring to better increase the efficiency and range of electric cars. Furthermore, it poses the question of what technologies electric car companies are implementing rather than researchers because the explorations and innovations by researchers are likely not to be implemented in the industry. This topic narrows down by thesis to finding what technologies are being implemented in the industry because it will be more concrete evidence of increased battery efficiency rather than possible inventions that may enter the industry in 10-20 years.