Energy Needs Estimation for Smart Autonomous Bikes

The effect of Greenhouse Gases on the environment has been increasing rapidly. In attempts to reduce pollution and the consequent Greenhouse effect, electric vehicles were introduced. For short travels, cheaper and greener alternatives such as electric smart bikes are becoming a hype. E-bikes are convenient, however, improving the modules available to better suit Smart E-bikes can make it more convenient for the users. The State of Charge (SOC) of the battery is an example. An accurate estimation of the SOC in an E-Bike is important, however, it cannot know if the current path selected by the rider will be covered fully by the remaining battery power. To make the available E-Bike modules smarter, battery estimation-path traversal in this case, this paper proposes a battery energy estimation system that notifies the rider if their chosen route is within the range that the current battery state can handle. This safety feature insures that users will always have power when traversing an approved route by the estimation system. In addition, the system is tested on a real-life prototype smart autonomous E-Bike to validate the results of the proposed approach.