Light electric vehicle that supports the weight of a user

Abstract

A method for a light electric vehicle that supports a weight of a user that includes the steps of supplying a support surface to support the weight of a user; supplying a motor controller containing a processor to control operation of an electric motor mounted i) on the support surface, or ii) proximal to the support surface, where the motor controller and its processor are electrically connected to the rechargeable electric battery, where the electric motor is electrically connected to the motor controller and the rechargeable electric battery, as well as connected to a drive mechanism to drive one or more wheels; and supplying a mode selector to set a first riding-experience mode for the light electric vehicle, wherein the first riding-experience mode has a first acceleration maximum and a second riding experience mode has a second acceleration maximum.

We claim: 
     
         1 . A method for dynamically controlling an electric vehicle, the method comprising:
 determining a user parameter based on user interaction with an input device;   selecting a first digital map from a set of digital maps based on the user parameter, wherein each digital map of the set of digital maps correlates user inputs to power parameters;   receiving a first user input from the input device;   mapping the first user input to a first power parameter based on the first digital map;   maintaining electric power provision to an electric motor of the electric vehicle within a predetermined range of the first power parameter;   detecting a condition indicative of perturbation;   selecting a second digital map of the set of digital maps based on the condition;   determining a second power parameter based on the second digital map; and   maintaining electric power provision to the electric motor within a predetermined range of the second power parameter..   
     
     
         2 . The method of  claim 1 , further comprising receiving sensor data sampled by a sensor associated with the electric vehicle, wherein detecting the condition indicative of perturbation comprises detecting the condition based on the sensor data. 
     
     
         3 . The method of  claim 2 , wherein detecting the condition indicative of perturbation is based on electric vehicle sensor data sampled by a vehicle sensor of the electric vehicle and mobile device sensor data sampled by a device sensor of a mobile device. 
     
     
         4 . The method of  claim 1 , wherein selecting the second digital map comprises selecting the second digital map based on the perturbation and the user parameter, wherein the user parameter comprises user riding experience. 
     
     
         5 . The method of  claim 1 , wherein determining the second power parameter comprises determining the second power parameter based on the first digital map and the second digital map. 
     
     
         6 . The method of  claim 5 , wherein the first digital map is a throttle map mapping throttle user inputs, and wherein the second digital map is a speed map defining a maximum speed. 
     
     
         7 . The method of  claim 1 , wherein the set of digital maps is stored at a processor of the electric vehicle, and wherein detecting the condition indicative of perturbation and selecting the second digital map are performed at the processor during electric vehicle movement. 
     
     
         8 . The method of  claim 7 , wherein detecting the condition indicative of perturbation comprises detecting an acceleration rate of change above an acceleration rate of change threshold. 
     
     
         9 . The method of  claim 7 , further comprising:
 receiving an updated set of digital maps the electric vehicle;   selecting a third digital map of the updated set of digital maps based on the user parameter. the third digital map distinct from the first digital map; and   maintaining electric power provision to the electric motor within a predetermined range of a third power parameter determined based on the third digital map.   
     
     
         10 . A method for dynamically controlling an electric vehicle, the method comprising:
 receiving a first set of user inputs collected from an input device during a first time period;   receiving a first sensor dataset sampled by a sensor associated with the electric vehicle during the first time period;   determining a user parameter based on the first set of user inputs and the first sensor dataset;   selecting a first digital map of a set of digital maps based on the user parameter, wherein each digital map of the set of digital maps correlates user inputs to power parameters:   during a second time period:   receiving a first user input from the input device;   mapping the first user input to a first power parameter with the first digital map; and   maintaining electric power provision to an electric motor of the electric vehicle within a predetermined range of the first power parameter.   
     
     
         11 . The method of  claim 10 , further comprising, during a third time period:
 detecting a condition indicative of perturbation;   selecting a second digital map of the set of digital maps based on the condition;   mapping a second user input to a second power parameter based on the second digital map; and   maintaining electric power provision to an electric motor of the electric vehicle within a predetermined range of the second power parameter.   
     
     
         12 . The method of  claim 10 , wherein the first set of user inputs and the first sensor dataset are received at a remote system, wherein the user parameter is determined at the remote system, and wherein the method further comprising prior to the second time period, transmitting the selection of the first digital map to a wireless communications module of the electric vehicle, the wireless communications module communicably coupled to the processor. 
     
     
         13 . The method of  claim 12 , wherein the first sensor dataset comprises:
 motion data sampled by a motion sensor mounted to the electric vehicle and electrically connected to the processor; and   location data sampled by a location sensor of the mobile device.   
     
     
         14 . The method of  claim 10 , wherein determining the user parameter further comprises:
 generating a riding pattern for the user based on the first set of user inputs and the first sensor dataset; and   determining the user parameter based on the riding pattern and a historical riding pattern associated with the user.   
     
     
         15 . The method of  claim 14 , further comprising:
 storing, at a remote system, the user parameter in association with a user identifier identifying the user; and   storing, at the remote system, a user-selected user parameter in association with the user identifier, the user-selected user parameter received from the user;   wherein determining the selection of the first digital map comprises determining the selection based on the user parameter and the user-selected user parameter.   
     
     
         16 . The method of  claim 10 , further comprising:
 receiving a second set of user inputs collected from the input device during the second time period, the second set of user inputs comprising the first user input;   receiving a second sensor dataset sampled by the ensor during the econd time period;   updating the user parameter based on the second set of user inputs and the second sensor dataset;   selecting a second digital map of a second set of digital maps distinct from the first set of digital maps, based on the updated user parameter; and   maintaining electric power provision to an electric motor of the electric vehicle within a predetermined range of a second power parameter determined based on the second digital map.   
     
     
         17 . A method for dynamically controlling an electric vehicle, the method comprising:
 determining a user parameter based on user interaction with an input device;   achieving a first speed at the electric vehicle in response to application of a first manual driving force from the user;   determining the first speed based on a first sensor dataset sampled by a sensor associated with the electric vehicle during a first time period;   maintaining electric power provision during a second time period to drive the electric vehicle within a predetermined range of a first output speed selected based on the first speed and the user parameter;   achieving a second speed at the electric vehicle in response to application of a first manual driving force from the user;   determining the second speed based on a second sensor dataset sampled by the sensor during the second time period; and   maintaining electric power provision during a third time period to drive the electric vehicle within a predetermined range of a second output speed selected based on the second speed and the user parameter.   
     
     
         18 . The method of  claim 17 , wherein maintaining electric power provision during the second time period is in response to receiving a first user input from the input device the electric vehicle, and wherein maintaining electric power provision during the third time period is in response to receiving a second user input from the input device. 
     
     
         19 . The method of  claim 17 , further comprising:
 selecting a digital map based on the user parameter prior to the first time period, the digital map correlating speed to power parameters; and   mapping the first speed to a first power parameter based on the digital map, wherein maintaining electric power provision during the second time period comprises maintaining electric power provision within a predetermined range of the first power parameter to drive the electric vehicle.   
     
     
         20 . The method of  claim 17 , further comprising:
 detecting a condition indicative of perturbation during the third time period based on a third sensor dataset sampled by the sensor during the third time period;   determining a second power parameter based on the condition; and   maintaining electric power provision within a predetermined range of the second power parameter.