1770 results about "Pure electric vehicle" patented technology

The invention discloses a power battery charging and heating system and method of a pure electric vehicle. The charging and heating system comprises a whole vehicle control unit, a vehicle-mounted charger, a charging pile, a battery managing system, a power battery, a DC/DC converter, a heat managing system, a PTC heater and a 12V storage battery for electrifying the charging and heating system at low pressure. The charging and heating method includes the steps that when charging is performed, if the temperature T of the power battery is smaller than or equal to the criticality of the lowest temperature which is preset, the vehicle-mounted charger provides electric energy for the PTC heater, and low-temperature heating is performed. If the temperature T of the power battery is larger than the criticality of the lowest temperature T which is preset, the power battery quits from low-temperature heating and is in a normal charging mode. The power battery charging and heating system and method of the pure electric vehicle can shorten the low-temperature heating time, ensure normal charging of the power battery and meanwhile does not affect the service life of the power battery.

The invention discloses a CAN bus-based pure electric vehicle charging method and a CAN bus-based pure electric vehicle charging system. The charging system comprises a complete vehicle controller, a battery management controller, a power battery pack, a 12V storage battery, a charger and a DC converter. The controllers perform information interaction through the CAN bus; the complete vehicle controller manages and controls the complete vehicle system state; a battery management system acquires the information of the power battery and the 12V storage battery and transmits the battery information to the complete vehicle controller; the charger charges the power battery during work; and the power battery charges the 12V storage battery through DC/DC and provides a power supply for complete vehicle 12V electric equipment. The CAN bus-based pure electric vehicle charging method and the CAN bus-based pure electric vehicle charging system have the advantages of monitoring the complete vehicle system state, providing a working power supply for charging process-related controllers through the storage battery, flexibly controlling the charging of the storage battery through the DC converter and guaranteeing the complete vehicle safety in the charging process.

The invention relates to a vehicle control method based on multi-information integration. The method comprises the following steps that: a vehicle controller unit reads vehicle state parameters in real time and correspondingly sends the vehicle state parameters to modules of the vehicle controller unit; a road slope angle calculation module, a vehicle quality calculation module, a vehicle auxiliary power calculation module and a future path forecasting module of the vehicle controller unit calculate the parameters and correspondingly sends the calculated parameters to the modules; a power battery state of charge (SOC) forecasting module determines the optimal target SOC trace curve of a power battery in certain time; a motor target torque calculation module calculates a motor target torque; a power distribution module distributes output power of an auxiliary power unit (APU) system and the power battery according to vehicle accessory power and the motor target torque; the motor target torque calculation module sends the motor target torque to a motor controller unit for controlling the motor to be driven; the power distribution module sends APU target power to an APU controller unit so as to control an auxiliary power source to work; the vehicle controller unit sets a sampling interval and reads the vehicle parameters; and the steps are performed repeatedly until the vehicle is power off. The vehicle control method is applied to pure electric vehicles and hybrid electric vehicles.

The invention relates to a control method for eliminating jitter of a pure electric vehicle. A vehicle control unit analyzes the real driving intention of a driver by acquiring accelerator pedal signals, gear signals and brake pedal signals, and thus calculates driver required torque TqDrvReq; a motor controller feeds back a motor actual revolving speed signal MotSpd of the vehicle control unit, and the vehicle control unit filters the MotSpd to obtain MotSpdFil. Through the difference between the MotSpdFil and the MotSpd, corrected torque TqCorr is calculated by adopting a PID (Proportion Integration Differentiation) algorithm to correct the driver required torque. Through superposition of the TqDrvReq and the TqCorr, final required torque TqReq is obtained and is transmitted to the motor controller to execute the torque. The method can eliminate the jitter of the vehicle; compared with the traditional methods of reducing the gear clearance and optimizing the driving structure, the method has the advantages of low cost, simplicity in implementation, easiness in verification, good effect and the like.

The invention relates to a thermal management system of a whole pure electric vehicle. The thermal management system of the whole pure electric vehicle is characterized in that the thermal management system of the whole pure electric vehicle comprises a motor system cooling circuit, a battery system low-temperature radiating circuit, a battery system high-temperature cooling circuit, a battery system charging and heating circuit, a passenger compartment heater heating circuit and a passenger compartment refrigerating circuit. The thermal management system of the whole pure electric vehicle has the advantages that cooling requirements of a motor system are effectively met, heating and cooling requirements of a battery system are effectively met, and refrigerating and heating requirements of a passenger compartment are effectively met.

The invention discloses a pure electric vehicle braking energy recovery control system and method based on a DCT (Data Communication Terminal), relating to the technical field of electric vehicles. The control system comprises a vehicle-mounted storage battery, a motor, a two-gear DCT automatic gearbox, a vehicle speed sensor, a master cylinder pressure sensor, a vehicle control unit, a battery management system, a motor controller, a gearbox controller and a feedback type brake anti-lock system, wherein the vehicle-mounted storage battery supplies power for the motor, and the motor is mechanically connected with the DCT automatic gearbox; and the vehicle control unit, the battery management system, the motor controller, the gearbox controller, the feedback type brake anti-lock system, the vehicle speed sensor and the master cylinder pressure sensor carry out information communication and instruction issue through a network and hard wires. The invention also discloses the pure electric vehicle braking energy recovery control method based on the DCT. The energy utilization and the driving mileage of the vehicles are increased.

The invention relates to a thermal management system for a pure electric vehicle, which is characterized in that it includes an electric drive system and a charger cooling circuit, a power battery cooling circuit, a power battery charging heating circuit, a passenger compartment heating circuit and a passenger compartment refrigeration circuit; The electric drive system and charger cooling circuit includes radiators, fans, kettles connected by pipelines, the electric drive system and charger cooling water pump installed in the circuit, as well as the motor controller and DCDC, as well as the charger and motor. The radiator realizes liquid-gas heat exchange to cool the heat dissipation components. Improve the environmental adaptability of electric vehicles, the power performance in high-temperature environments, the durability of key components, and the energy utilization efficiency of the entire vehicle.

The invention discloses a pure electric vehicle control unit calibration system based on CAN (controller area network) bus, which comprises an upper computer with two-way communication and a lower computer with two-way communication. The upper computer comprises a data storage module, an MAP (macro assembly program) chart optimization module, a parameter calibration module and a CAN bus communication processing module. The lower computer is a pure electric vehicle control unit (VCU) and comprises a CAN bus communication module, a data acquisition module, a calibrated data storage module and a control algorithm module. The invention further provides a pure electric VCU online calibration method based on the CAN bus. By introducing the CAN bus into the design of the electric vehicle control unit calibration system, the invention realizes online optimization of the control parameters of power, response speed, electricity consumption and the like of the pure electric vehicle, sloves the problems of difficulty in modifying the parameters, long development cycle and poor maneuverability in the prior art, and solves the problem that differences of the operating conditions and diversity of the requirements on power performance and life mileage of the vehicles under different uses, requirements to the control parameters of the vehicle control units are different due to the type variety of pure electric vehicles.

The invention relates to a method for estimating surplus mileage of a pure electric vehicle based on power consumption per kilometer, which comprises the following steps that: 1, an HCU (hybrid vehicle control unit) receives a message sent by a BCU (battery control unit) through a bus, busbar voltage U[bus], busbar current I[bus], and SOC of a battery pack are extracted from the message; 2, the HCU receives a message sent by an ABS (antilock brake system) controller through the bus, and a speed signal v is extracted from the message; 3, an available battery capacity B of the current battery pack being equal to B[Ah]*(SOC-SOC[lower limit]) is obtained according to the current available SOC, the use limitation of the SOC and the total capacity B[Ah] of the battery pack Ah; 4, an available battery energy E[available] of the battery pack being equal to U[bus]* B[available] can be calculated according to the busbar voltage U[bus] and the available battery capacity B of the current battery pack; and 5, surplus mileage S[surplus] being equal to E[available]/W[average] can be calculated according to the power consumption per kilometer W[average] and E[available]. The method automatically takes external influencing factors into consideration, so standardization processed through vast of experiments is unnecessary, and the accuracy is higher.

The invention relates to a pure electric vehicle, particularly to the starting shake of the pure electric vehicle. When the electric vehicle is started, and power is transferred by the output torque of a motor through a transmission system, the torque with nonlinear changes is transferred during transient transition. The step length of the expected torque responded by a motor, of the whole vehicle, is properly magnified, and simultaneously, a rotating speed feedback link is increased to correct the expected torque of the whole vehicle. The rotating speed feedback link comprises five parts: motor rotating speed detection, a low pass filter, motor rotating speed differential, an inertia link and limiting amplitude output. Through the rotating speed feedback link, the torque for correcting the expected torque can be estimated, the dynamic response process of the transmission system can be improved when the power is transferred, the effect of restraining the starting shake is achieved, and the acceleration performance of the whole vehicle is taken into account.

The invention provides a big data acquisition and processing system and an electric vehicle endurance estimation method based on the same; the system includes a vehicle-mounted sensor, a GPS positioning system, a road information perception system, a cloud data receiving system, a data transmission processing system and an online computing system. Real-time road, traffic, weather and other information are obtained from a cloud server, and then a future driving state of an electric vehicle is forecasted based on the data. According to the vehicle real-time data under an actual driving state, a vehicle dynamic model and a battery model obtained from calculation are more accurate than a traditional vehicle dynamic model obtained based on a physical equation in an electric vehicle driving process. The estimation method can improve the estimation accuracy of the remaining endurance mileage of the networking pure electric vehicle to a great extent. In addition, according to the real-time data obtained from the cloud, a vehicle use strategy is better planned, and the control strategy of the electric vehicle is optimized, so as to improve the service life of the electric vehicle.

The invention provides a hill descent control system of a pure electric vehicle and a control method of the hill descent control system. The hill descent control system comprises a vehicle signal unit, a hill descent unit, a vehicle control unit, an anti-lock braking system, a driving motor and an active brake unit. The vehicle signal unit, the hill descent unit and the anti-lock braking system are connected with the vehicle control unit. The vehicle control unit is connected to the driving motor through a motor controller. The vehicle control unit is also connected with the active brake unit. According to the hill descent control system, different slopes correspond to different vehicle speed intervals, and preferably the motor is used for generating power and recovering energy; especially down a slope along a long ramp, the burden of the braking system is relieved, and potential accidents caused by thermal failure due to an overheated brake are eliminated.

The invention provides an acceleration anti-slip control system and a method of a pure electric vehicle. The acceleration anti-slip control system comprises a gear selector, a brake pedal, an accelerator pedal, a whole vehicle controller, an anti-lock brake system and a motor controller; the gear selector, the brake pedal and the accelerator pedal are respectively connected with the whole vehicle controller and used for transmitting present gear signals, on/off signals of the brake pedal and openness signals of the accelerator pedal to the whole vehicle controller; and the whole vehicle controller is respectively connected with the anti-lock brake system and the motor controller by CAN buses. In the acceleration anti-slip control method, a target is controlled by using optimal slippage rate and the slippage rates of the wheels are controlled to be near the optimal slippage rate by regulating control parameters, so that the vehicle can obtain excellent acceleration anti-slip control effect when traveling under severe road conditions; and moreover, the wrong judgment of the slipping of tires during steering is avoided effectively by identifying steering conditions.

The invention discloses a composite power energy management prediction control system of a pure-electric vehicle. The system comprises a motor, a power storage battery and a super capacitor, wherein the power storage battery and the super capacitor are connected with a motor drive control device through a bidirectional DC-DC (direct current) converter respectively; the motor drive control device is connected with the motor; and the system also comprises a microprocessor control system and a vehicular navigation system, a switch pedal potentiometer, a brake pedal potentiometer, a motor detection unit, a power storage battery energy management system and a super capacitor energy management system connected with the microprocessor control system. The system disclosed by the invention can make full use of energy resources, improve energy recovery, increase the once-charge travel distance of the electric vehicle, protect the storage battery, prolong the service life of the storage battery and enhance the power performance of the whole electric vehicle.

The invention discloses a prediction method and system of a real-time driving mileage of pure electric vehicles. The method comprises the following steps that: (1) a vehicle controller reads signals of a battery management system and a vehicle speed signals; (2) the discharge energy used by a high-voltage storage battery system is calculated according to the signals of the battery management system; (3) the total power consumption of current key circulation is calculated according to the current battery voltage and the current battery current of the battery management system; (4) the total mileage of current circulation is calculated according to real-time vehicle speed signals; (5) the driving mileage of the pure electric vehicle is corrected according to the total power consumption of the current total key circulation and the total mileage of the current circulation. The driving mileage of the vehicle is corrected more reasonably according to the discharge capacity of the current key circulation and the mileage, so that the calculation precision of the driving mileage of the vehicle is improved, and a more accurate control basis is provided for the reasonable use of the pure electric vehicles and the prolonging of service life and the like. The predication method and system can be widely applied to the predication of the driving mileage of the pure electric vehicles.

The invention discloses a method for monitoring battery data under a parking state of a pure electric vehicle and a vehicle-mounted terminal. The method comprises the steps that the fact that the vehicle is under the parking state is determined; a first timer is started; after the first timer reaches the first preset duration, an awaking signal is output to a battery management system in the vehicle; the battery data reported by the battery management system are received; the battery data are sent to a control platform; a dormancy signal is output to the battery management system to enable the battery management system to enter a dormancy or closed state. The method for monitoring the battery data under the parking state of the pure electric vehicle and the vehicle-mounted terminal can monitor the battery data under the parking state of the pure electric vehicle, and not only can collect accurate battery voltage and temperature data, but also do not consume a large amount of energy capacity of a battery in the whole working process.

The invention discloses a scheme for controlling the grade parking of a permanent magnet motor-driven pure electric vehicle. The pure electric vehicle has an electrical system comprising a battery pack, a motor, a power converter, a motor controller and a vehicle controller and further comprising corresponding voltage, current and tilt sensors. The scheme comprises two steps of: (1) detection for the initial position of a rotor of a permanent magnet synchronous motor: a detection voltage is applied to the permanent magnet synchronous motor by the power converter, and the initial spatial position of the motor rotor in the case that the vehicle is stationary is calculated through a current feedback signal; and (2) torque self-balancing strategy based on vector control: the torque self-balancing characteristic can enable driving torque to track load torque automatically. The torque required by parking is calculated in accordance with the tilt angle of a ramp on which the vehicle is to be parked, and then, reasonable current amplitude and phase are given according to the initial position of the rotor and the torque required by grade parking in order to enable the driving torque to be equal to the load torque, therefore, stationary parking of the vehicle on the grade is realized.

The invention discloses a high-voltage and low-voltage power-on/off time sequence control method of a pure electric vehicle and belongs to the technical field of electronic control of new energy source vehicles. The high-voltage and low-voltage power-on/off time sequence control method comprises the following steps: activating KL15, enabling a VCU (Vehicle Control Unit) to be in a waiting mode from a sleeping mode and keeping for time T1; judging whether a KL15 activating state is changed or not; if the KL15 state is not changed, enabling the VCU to be in an operating mode, controlling a low-voltage controller to finish low-voltage power-on self inspection, and receiving an operating mode signal fed back by the low-voltage controller; enabling the VCU to receive the operating mode signal fed back by the low-voltage controller, and sending a high-voltage power-on request instruction to each high-voltage load controller, and sending a relay closing instruction to a BMS (Battery Management System); if the high-voltage power-on process is finished, disconnecting the KL15; enabling the VCU to be in the waiting mode from the operating mode and keeping for time T2; judging whether a KL15 disconnected state is changed or not; and if the KL15 state is not changed, enabling the VCU to control a whole vehicle power system to finish a high-voltage power-off process. By adding the waiting mode, a phenomenon that a user turns a key switch repeatedly so that a relay has a sticking fault is avoided, and thus the service life of the relay is prolonged.

The invention provides a power battery actual capacity estimation method. The estimation method is based on a battery mathematical model, the open-circuit voltage and capacity of a battery are identified by utilizing a system identification algorithm, the battery capacities, corresponding to the battery open-circuit voltages OCV1 and OCV2, are respectively recorded as Cap1 and Cap2, meanwhile the battery capacity Cap3 is estimated by utilizing an AH integral algorithm, and then the Cap1, Cap2 and Cap3 are weighted and filtered to obtain battery capacity Cap0, and finally, the Cap0 is filtered to obtain the actual battery capacity in accordance with the engineering application requirement. The power battery actual capacity estimation method has the advantages that the influence of the identification algorithm and the battery operating conditions on the actual capacity estimation can be avoided; and the estimation method is applicable to estimating the actual capacity of power batteries for pure electric vehicles and power batteries for hybrid electric vehicles.

The invention discloses a timing and quantitative charging control system and method for a pure electric vehicle. After charging equipment is plugged into the vehicle, a BCM and a vehicle-mounted charging machine are controlled by a VCU, and charging is started; when charging is conducted on the vehicle, a timing and quantitative charging control module counts time and electricity quantity, when set time or set electricity quantity is reached, the timing and quantitative charging control module transmits a charging ending instruction to the VCU, and the VCU controls the BCM and the vehicle-mounted charging machine to stop the charging process. The timing and quantitative charging control system and method for the pure electric vehicle can set the charging time or charging quantity of the electric vehicle according to practical situations of people to avoid peak electricity usage, and off-peak electricity is used for charging the electric vehicle. The timing and quantitative charging control system and method for the pure electric vehicle can achieve timing and quantitative charging of the vehicle for family charging equipment or pile charging equipment without the help of vehicle external connection appointment equipment, and solve the problems that the pure electric vehicle depends on the vehicle external equipment too much during charging and waste is caused by nonuse of too much remaining electricity quantities of the vehicle.

The invention discloses an adaptive suppression method for rapid acceleration shaking of a pure electric vehicle. The adaptive suppression method comprises the following steps that a vehicle control unit works out the torque required by a driver; the vehicle control unit receives an actual revolving speed signal feed back from a motor and conducts filtering through a high-order band filter; a deviation revolving speed is obtained by subtracting the control target zero revolving speed and revolving speed of the motor after filtering; a self-adaptive anti-shake dynamic torque output by a PID controller is obtained through a PID control algorithm according to the deviation revolving speed; the maximum saturation value and the minimum saturation value of the self-adaptive anti-shake dynamic torque output by the PID controller are limited to obtain the final self-adaptive anti-shake dynamic torque; and the torque required by the driver and the self-adaptive anti-shake dynamic torque are added, and the final targeted torque value sent to a motor controller is obtained. Compared with a PID control method aiming at limiting the torque growth slope and utilizing the motor revolving speed smoothing value, the adaptive suppression method is good in adaptability, can achieve calibration and verification easily and can take vehicle comfort and accelerating performance into consideration.

The invention discloses a test bed for a pure electric vehicle power assembly. The test bed measures the power output of the pure electric vehicle power assembly by adopting two electric dynamometers. The pure electric vehicle power assembly is arranged on the test bed according to the installation modes and the fixed positions of a pure electric motor assembly and a gear box assembly; and the pure electric vehicle power assembly is connected with the two electric dynamometers through a driving shaft and a connecting flange, then is connected with a controller of each part, a cooling system, an electrical parameter tester, other parts and the like, and debugs the communication of the whole system. The test bed can be used for performing the following tests of: a functional verification test of a pure electric vehicle power assembly system, various performance test of the pure electric vehicle power assembly and various tests under the road working condition of the pure electric vehicle power assembly.