A regenerative braking control system for a vehicle can include one or more user interface elements located in a cabin of the vehicle. The one or more user interface elements can correspond to a plurality of regenerative braking settings. Each of the plurality of regenerative braking settings can correspond to a different amount of regenerative braking torque to apply to one or more wheels of the vehicle. The regenerative braking control system can include a processor operatively connected to the user interface elements. The processor can be configured to detect a condition. The condition can one or more driving environment conditions. Responsive to detecting the condition, the processor can be configured to cause the amount of regenerative braking torque for one or more of the plurality of regenerative braking settings to be adjusted based on the condition.

An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

A self-charging electric vehicle configured for converting solar energy and wind energy into electrical energy comprising a systems and methods. The vehicle includes a body and frame with a central body structure and centerline cabin and a chassis with a centerline battery compartment and a suspension system. Solar cells mounted to the vehicles top sides can be supplemented with extendable solar panel(s) that can be deployed by a control system to generate solar energy into electrical energy. An omnidirectional sun sensor provides for sun strength, angle and direction. A stowable horizontal-axis wind turbine with an extendable mast mounted to the vehicle that can be deployed by a control system to generate wind energy into electrical energy. A stowable anemometer provides for wind speed and wind direction.

An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

A method for dynamic control of an electric vehicle operable based on a throttle value received from a throttle and a default throttle map correlating default output values with throttle values, the method including: determining a user parameter; detecting a condition indicative of perturbation; in response to detecting the condition indicative of perturbation, determining a replacement output value for a first throttle value based on the user parameter; and controlling vehicle operation to meet the replacement output value in response to receipt of the first throttle value.

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.