Method and apparatus for planning an electric car trip

A method for planning an optimal geographical route by an electric car from origin to destination locations, using an objective of minimizing estimated time, minimizing distance to travel, or minimizing charging price, while arriving at all user-defined multiple locations along the route. The method uses time or trip sensitive data and non-time/trip sensitive data, the data include environmental factors (such as roads map, charging stations location, and weather), car related factors, and driver or user factors. The optimal route planning may be based on Bayesian network or optimization, such as by using a Travelling Salesman Problem (TSP), a Linear Programming (LP) problem, using unsupervised clustering such as K-Means clustering or algorithm, or using casual inference methodology or process that is based on Bayesian inference or Frequentist statistical inference. Any data item used may be obtained from a database, a server, or from a local or remote sensor.