Recycling Braking Energy Using Big Data for Efficient Electric Cars – Dr Ronghui Zhang, Sun Yat-sen University

Nov 5, 2019 | engineering and tech

 Original Article Reference:

This SciPod is a summary of the paper ‘Energy Recovery Strategy Numerical Simulation for Dual Axle Drive Pure Electric Vehicle Based on Motor Loss Model and Big Data Calculation’ in Complexity, a Hindawi journal.

About this episode

Electric vehicles may be championed as an essential component of a decarbonised economy, but there is still a long road ahead before they can become widely accessible to all drivers. Dr Ronghui Zhang and colleagues at Sun Yat-sen University in China are exploring one way in which this transition could be accelerated, through more sophisticated techniques for recycling the abundant energy released in braking. With the smart use of big data, the researchers believe that the amount of energy recaptured in this process can be maximised, without sacrificing the safety or comfort of the driver.



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