# US 11,077,769 B2 · Dynamic control for light electric vehicles > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,077,769 B2 - Document ID: US11077769B2 - Status: Granted - Kind: B2 - Application number: 15/601,938 - Filed: 2017-05-22 - Published: 2017-09-14 - Granted: 2021-08-03 - Earliest claimed: 2013-03-14 - Assignees: Neutron Holdings, Inc. - Applicants: Neutron Holdings, Inc. - Inventors: Sanjay Dastoor; John Ulmen; Salomon Trujillo; Matthew Tran - Web page: https://patentgrep.com/patent/US11077769B2 ## CPC - B60L 58/12: responding to state of charge [SoC] - B60L 1/00: Supplying electric power to auxiliary equipment of vehicles (circuit arrangements for charging batteries H02J7/00) - B60L 3/102: {of individual wheels} - B60L 3/12: Recording operating variables {; Monitoring of operating variables} - B60L 15/20: for control of the vehicle or its driving motor to achieve a desired performance, e.g. speed, torque, programmed variation of speed - B60L 15/2045: {for optimising the use of energy} - B60L 50/30: using propulsion power stored mechanically, e.g. in fly-wheels - B60L 50/51: characterised by AC-motors - B60L 50/52: characterised by DC-motors - B60L 58/22: Balancing the charge of battery modules - B60L 58/30: for monitoring or controlling fuel cells - B60L 2240/12: Speed - B60L 2240/20: angular - B60L 2240/421: Speed - B60L 2240/423: Torque - B60L 2240/461: Speed - B60L 2240/622: by satellite navigation - B60L 2240/662: Temperature - B60L 2240/665: Light intensity - B60L 2270/145: Structure borne vibrations - Y02T 10/64: Electric machine technologies in electromobility - Y02T 10/70: Energy storage systems for electromobility, e.g. batteries - Y02T 10/72: Electric energy management in electromobility - Y02T 90/16: Information or communication technologies improving the operation of electric vehicles - Y02T 90/40: Application of hydrogen technology to transportation, e.g. using fuel cells - B60L: PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES (arrangements or mounting of electrical propulsion units or of plural diverse prime-movers for mutual or common propulsion in vehicles B60K1/00, B60K6/20; arrangements or mounting of electrical gearing in vehicles B60K17/12, B60K17/14; preventing wheel slip by reducing power in rail vehicles B61C15/08; dynamo-electric machines H02K; control or regulation of electric motors H02P); SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES (electric coupling devices combined with mechanical couplings of vehicles B60D1/64; electric heating for vehicles B60H1/00); ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL (control or regulation of electric motors H02P); MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES - Y02T: CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION ## Abstract 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. ## Claims ### Claim 1 A dynamic control method of an electric vehicle comprising: selecting, via a processor, a first map of a plurality of maps of vehicle speed or throttle inputs to vehicle outputs; receiving, at the processor, a vehicle speed or throttle input from an input device; mapping, via the processor, the vehicle speed or throttle to a first power parameter based on the first map; maintaining power, via the processor, to an electric motor of the electric vehicle within a range of the first power parameter; detecting, via the processor and a sensor, a perturbation; determining, via the processor, based on the perturbation, a second map of the plurality of maps of vehicle speed or throttle inputs to vehicle outputs; mapping, via the processor, the vehicle speed or throttle input to a second power parameter based on the second map; and controlling power to the electric motor based on the second power parameter. ### Claim 2 (depends on 1) The method of claim 1, further comprising: receiving sensor data sampled by a sensor associated with the electric vehicle to detect the perturbation. ### Claim 3 (depends on 2) The method of claim 2, wherein detecting the perturbation is further based on mobile device sensor data sampled by a device sensor of a mobile device. ### Claim 4 (depends on 1) The method of claim 1, wherein the perturbation is a sudden change in one or more of position, velocity, or acceleration of a user or the electric vehicle. ### Claim 5 (depends on 1) The method of claim 1, wherein controlling power to the electric motor, after detecting the perturbation, comprises determining the second power parameter based on the first map and the second map. ### Claim 6 (depends on 5) The method of claim 5, wherein the first map is based on throttle, and wherein the second map is based on vehicle speed. ### Claim 7 (depends on 1) The method of claim 1, wherein the plurality of maps are based on controlling at least one of torque, power, vehicle speed, and acceleration on the electric vehicle. ### Claim 8 (depends on 1) The method of claim 1, wherein the plurality of maps are stored at a processor of the electric vehicle, and wherein detecting the perturbation and determining the second map are performed at the processor during electric vehicle movement. ### Claim 9 (depends on 8) The method of claim 8, wherein detecting the perturbation comprises detecting an acceleration rate of change above an acceleration rate of change threshold. ### Claim 10 (depends on 8) The method of claim 8, further comprising: receiving updated maps at the electric vehicle. ### Claim 11 (depends on 1) The method of claim 1, further comprising: receiving a first sensor dataset sampled by a sensor associated with the electric vehicle during a first time period. ### Claim 12 (depends on 11) The method of claim 11, wherein the first sensor dataset are received at a remote system, and wherein the method further comprises, prior to a second time period, transmitting the selection of the first map to a wireless communications module of the electric vehicle, the wireless communications module communicably coupled to the processor. ### Claim 13 (depends on 12) 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. ### Claim 14 (depends on 13) The method of claim 13, further comprising: generating a riding pattern for the user based on the first sensor dataset. ### Claim 15 (depends on 1) The method of claim 1, wherein the second map is based on torque output. ### Claim 16 (depends on 1) The method of claim 1, wherein the second map is based on vehicle speed output. ### Claim 17 A method for dynamic control of an electric vehicle comprising: achieving, via the electric vehicle, a first vehicle speed by application of a first manual driving force from the user; determining, via a processor of the electric vehicle, the first vehicle speed based on a first sensor dataset sampled by a sensor associated with the electric vehicle during a first time period; maintaining, via the vehicle, electric power during a second time period to drive the electric vehicle within a predetermined range of a first output vehicle speed selected based on the first vehicle speed; achieving, via the vehicle, a second vehicle speed by application of a second manual driving force from the user; determining, by the processor, the second vehicle speed based on a second sensor dataset sampled by the sensor during the second time period; and maintaining, via the vehicle, electric power provision during a third time period to drive the electric vehicle within a predetermined range of a second output vehicle speed selected based on the second vehicle speed. ### Claim 18 (depends on 17) The method of claim 17, wherein maintaining electric power during the second time period is in response to receiving a first vehicle speed or throttle input from an input device of the electric vehicle, and wherein maintaining electric power during the third time period is in response to receiving a second vehicle speed or throttle input from the input device. ### Claim 19 (depends on 17) The method of claim 17, further comprising: Selecting, via the processor, a first map of vehicle speed prior to the first time period, the first map correlating vehicle speed to power parameters; and mapping the first vehicle speed to a first power parameter based on the first map, wherein maintaining electric power during the second time period comprises maintaining electric power within a predetermined range of the first power parameter to drive the electric vehicle. ### Claim 20 (depends on 17) The method of claim 17, further comprising: detecting a 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 perturbation; and maintaining electric power within a predetermined range of the second power parameter.