1079results about How to "Guaranteed power" patented technology

The present invention provides an electric vehicle battery replacing method and a cloud management server. The method comprises: the loud management server obtaining low-electric quantity alarm information sent by an electric vehicle; the loud management server confirming multiple battery replacing devices having power battery replacing ability around the electric vehicle according to the vehicle position information and the battery state information of the electric vehicle; and the loud management server allocating the battery replacing device suitable for replacing the battery of the electric vehicle for the electric vehicle from the multiple battery replacing devices having the power battery replacing ability around the electric vehicle. By applying the electric vehicle battery replacing method and the cloud management server, the electric quantity power battery insufficient in electric quantity can be simply and quickly replaced for the electric vehicle, so that the electric quantity of the power battery of the electric vehicle is guaranteed.

The invention discloses a whole vehicle energy management method for an internal combustion generating extend range type electric vehicle. The SOC level of a current electric vehicle storage battery is obtained according to voltage and charging and discharging current information of the two ends of the storage battery, a high SOC threshold and a low SOC threshold are set to determine the on-off state of a range extender, and excessive charging and discharging of the storage battery and frequent start and stop of the range extender are avoided. In a range extend mode, drive demanded power of the whole vehicle is obtained according to discharge voltage and current information of a drive motor and a controller of the drive motor, an economic travel line of an internal combustion engine of the range extender and the current SOC value of the storage battery serve as bases, the optimal operation condition of the range extender is reasonably determined, charging and discharging demands of the storage battery are taken into consideration, accordingly whole vehicle dynamic performance and fuel economical efficiency are guaranteed, and meanwhile the energy storage level of the storage battery is optimized.

The invention discloses a moment distribution method for a self-adaptive cruise control system of a four-wheeled independent drive electric automobile. An ideal acceleration command is calculated through an upper layer control method and input in a lower layer control method, the lower layer control method is used for calculating the ideal drive moment according to the ideal acceleration command calculated through the upper layer control method and distributing the moment to four wheels, and the problem that a traditional self-adaptive cruise control system cannot be directly applied to the four-wheeled independent drive electric automobile is solved. Smoothly-restrained model prediction control is adopted in the upper layer control method, the practicality of the self-adaptive cruise control system is improved, and the requirements for safety, comfort and economical efficiency of a driver are met. Fuzzy control is adopted in the lower layer control method, so that the ideal longitudinal moment is obtained, the moment is distributed to the four wheels according to the vertical load proportions, and the robustness and practicality of the self-adaptive cruise control system of the four-wheeled independent drive electric automobile are improved while the dynamic quality of the four-wheeled independent drive electric automobile is guaranteed.

The invention discloses an intelligent variable time domain model prediction energy management method for a hybrid power vehicle. The method belongs to the field of plug-in hybrid electric vehicle energy management, and mainly comprises: establishing a double-neural-network working condition prediction model, and further establishing an MPC parallel hybrid electric vehicle energy management systembased on double-neural-network working condition prediction; establishing a DDPG controller by using a depth deterministic strategy gradient (DDPG) algorithm; combining the built models, building anintelligent variable time domain model prediction energy management model of the hybrid power vehicle, and training the model; and when an automobile runs, obtaining the relevant state and traffic condition information of the automobile to act on the trained model, and achieving energy management of the intelligent variable time domain MPC of the parallel hybrid electric vehicle. By adopting the method, the problem that the MPC adopting a fixed prediction time domain is poor in working condition adaptability can be effectively solved, the control effect of an energy management strategy is effectively improved, and the fuel economy of the vehicle is further improved.

The invention provides a novel fuel cell vehicle control system and control method. A fuel cell controller is additionally arranged on the basis of an existing fuel cell vehicle control system, the starting and stopping state of a fuel cell engine is controlled by a whole vehicle controller through the fuel cell controller, and when the fuel cell engine is started, a target power is selected frompreset minimum power of a high-efficiency area, the maximum power of the high-efficiency area and available maximum power through residual electric quantity of a power cell and vehicle speed; and thepower output of the fuel cell engine is controlled by limiting the target power according to the working conditions of the whole vehicle. Based on the novel fuel cell vehicle control system, preferentially satisfaction is realized when the whole vehicle has a high power demand, and thus the dynamic property of the whole vehicle is ensured; and the target power is further limited to reduce the occurrence of overcharging of the power cell by the fuel cell engine and prolong the service life of the power cell.

The invention relates to a vehicle-mounted movable type walk-assisting exoskeleton rehabilitation robot belonging to the technical field of rehabilitation engineering. The vehicle-mounted movable type walk-assisting exoskeleton rehabilitation robot comprises an auxiliary movable platform and a lower limb exoskeleton mechanism, wherein the lower limb exoskeleton mechanism is connected with the auxiliary movable platform; the auxiliary movable platform comprises an auxiliary movable trolley, a control cabinet and a suspension mechanism, and the auxiliary movable trolley is connected with the control cabinet and the suspension mechanism; the lower limb exoskeleton mechanism comprises a width-adjusting mechanism and two leg exoskeletons, the two leg exoskeletons are respectively connected to both sides of the width-adjusting mechanism, and the width-adjusting mechanism is connected with the auxiliary movable platform. The invention realizes more rehabilitation training functions by enlarging the motion space of the lower limb exoskeleton mechanism, also realizes the limitation protection effect on lower limb joints of human bodies, has compact structure and stable work, and can realize the functions of assisting walk, autonomous movement, lower limb rehabilitation training, and the like.

The invention belongs to the field of control technologies, and provides an energy control method and device for a hybrid electric vehicle. The method includes the steps that required power Preq(k+j) of a driver in the [k, k+p] time period is predicted, j equals 0, 1, ..., p, and k represents the current sampling time; required torque Treq(k+j) and the vehicle speed v(k+j) of the hybrid electric vehicle in the [k, k+p] time period are obtained; through nerve cell dynamic planning, the optimal control vector [u(k), ..., (k+p-1)] is calculated; and a control variable sequence u(k) of the current sampling time is output. According to the method and device, energy management control of the hybrid electric vehicle is achieved on the basis of random model prediction control and a nerve cell dynamic planning algorithm, and on the premise of guaranteeing the vehicle dynamic quality, the fuel economy of the vehicle can be improved; the calculated quantity is small, the real-time performance is good, and the fuel economy of the hybrid electric vehicle can be further improved.

The invention relates to a safety monitoring system of rail wagon. The invention aims at increasing the speed of the rail wagon to be more than 100 km/h under the premise of fully ensuring safety. The technical scheme of the invention is that an industrial embedded CPU processor, a wireless communication coordinator terminal, a GSM communication module and a depart information card reader are installed at the terminal station located at the head of the wagon. At least one monitoring and power-supplying device is installed on the bogie. The monitoring devices are a series of physical quantity sensors. The power-supplying device is provided with a self-generating device or a super capacitor. A wind pressure sensor for monitoring train pipe or other physical quantity sensors are installed in the wagon box of truck. The invention is suitable for online monitoring real-time accident of the operated rail wagon in twenty-four hour.

The invention relates to an extended range electromobile power system using a dual-clutch two-speed transmission. The extended range electromobile power system is characterized in that a crank shaft of an internal combustion engine is connected with a shell of a first dual-clutch transmission gear; a first clutch of the first dual-clutch transmission gear is connected with a shell of a second dual-clutch transmission gear through a transmission shaft; the second clutch of the first dual-clutch transmission gear is connected with a first motor rotor; a second motor rotor is connected with a shell of the second dual-clutch transmission gear through a transmission shaft; and two sets of change gears are respectively controlled to output power by controlling the disengagement or engagement of two clutches of the second dual-clutch transmission gear to realize two gears. The vehicle is mainly driven by a second motor during low-speed driving, the low-speed and low-load operation of an engine is avoided, and the economical efficiency and emission of the whole vehicle are improved; during high-speed driving, the power system operates in parallel to drive the vehicle, the energy transmission efficiency is high, and the driving range of the vehicle is further extended on the basis of ensuring the dynamic property of the whole vehicle.

The invention discloses an active regeneration grading control method for a particle trap. The active regeneration grading control method aims to acquire the real-time carbon loading amount and temperatures of the particle trap. According to the carbon loading amount, a plurality of carbon loading limit values are determined, a plurality of temperature limit values are determined according to thetemperatures, the real-time carbon loading amount and the carbon loading amount limit values of the particle trap are compared, the real-time particle trap temperatures and the temperature limit values are compared, an active regeneration mode is determined, and the active regeneration mode is one or a combination containing more than one of the conditions that an engine is controlled to defer theignition angle, the air-fuel ratio becomes lean, and the idle speed is increased. According to the active regeneration grading control method for the particle trap, the mode of active regeneration isdetermined according to the regions where different carbon loading amount and the temperatures of the particle trap are located and the marking of the region, so that the carbon deposition is effectively removed in time when the carbon loading amount is too high, and the exhaust back pressure is reduced.

The invention relates to a maritime renewable energy transfer device which comprises an ocean platform and a wave energy generator, wherein the wave energy generator is arranged on the platform surface of the ocean platform, preferably, the wave energy generator comprises a wave floating body and a mechanical driving and generating component; the mechanical driving and generating component is arranged on the platform surface; the wave floating body comprises a floating body and a straight rack gear arranged on the floating body; the mechanical driving and generating component comprises a straight rack gear limiting component, a first rotating shaft and a first gear arranged on the first rotating shaft; the floating body is positioned below the platform surface; the straight rack gear passes through the platform surface from bottom to top and is meshed with the first gear; the straight rack gear limiting component supports a limiting straight rack gear; and the ocean platform is a tension leg type ocean platform. The invention also provides a maritime renewable energy transfer system for using wind power and wave power to generate power in a combined grid. The invention is ingeniously designed, can effectively utilize maritime renewable energy and provide energy for ocean development away from the land, and is safe, stable and reliable and convenient for engineering implementation and daily maintenance.

The invention discloses an automatic speed changer gear shifting point predicting control method based on a vehicle-mounted navigation system. The method comprises the steps that firstly, current vehicle structure parameters, state parameters and power transmission system parameters are determined; secondly, front road feature parameters are extracted; thirdly, the future vehicle state is predicted on the basis of the feature parameters; fourthly, work condition division is conducted according to the future vehicle state, the speed changer gear meeting the needed torque and the rotation speedneeded by an engine is selected, the fuel consumption rate corresponding to the gear is calculated, the gear where the fuel consumption rate is the lowest serves as the predicted target gear, the changing difference value between the current gear and the predicted target gear is calculated, and work condition division is conducted; and fifthly, the optimal gear shifting method is formulated for different work conditions. On the premise that dynamic performance, driving controllabitity and safety are guaranteed, rolling optimization of gear shifting points can be achieved, the automatic speed changer gear shifting point predicting control method better adapts to the whole vehicle dynamic character, and optimal matching of the dynamic performance and economic efficiency is achieved.

The invention relates to an on-slope shift control method for an automatic gearbox of a heavy-duty vehicle. The method comprises shift control under a climbing working condition, specifically, a gearbox control unit TCU firstly determines the slope-mass grade percentage according to a calculated vehicle mass and a slope value, then determines a corresponding climbing grade mode according to the slope mass grade percentage, and then checks a pre-calibrated accelerator opening degree-target gear table under a climbing grade mode to obtain a target gear, and finally a gearbox executing mechanismexecutes gear shifting operation according to the calculated target gear and a gear shifting instruction, wherein climbing grade modes comprises a low-level mode, a middle-level mode and a high-levelmode. With the influence of the vehicle driving state, slopes and the mass on gear shifting considered comprehensively, the design adopts a regular logic control strategy, not only improves the economy of the vehicle, but also improves the power, drivability and system stability of the vehicle.

The invention relates to a battery cooling method and a battery cooling device, in particular to liquid-nitrogen cooling method and device for an automotive power battery pack. The liquid-nitrogen cooling method for the automotive power battery pack includes directly releasing liquid nitrogen to the surface of the power battery pack and a casing of each battery cell to convert the liquid nitrogen into gas nitrogen, and cooling the surface of the power battery pack and the casing of each battery cell by absorbing a substantial amount of heat in process of converting the liquid nitrogen from liquid into gas. The liquid-nitrogen cooling device for the automotive power battery pack comprises a liquid nitrogen tank (1), a cooling container (8), a connecting pipeline (19), a cooling passage (20), a nitrogen exhaust port (9) and the like. The liquid nitrogen tank (1) is communicated with the cooling passage (20) arranged in the cooling container (8) through the connecting pipeline (19). The liquid-nitrogen cooling method and device for the automotive power battery pack are good in cooling effect, free of consumption of electric energy of the power battery pack, environment-friendly and energy-saving. The cooling method is simple and easy to implement. The cooling device is small in size, the structure is simple and stable, noise and vibration can be avoided, cooling stability is good, and safety is high.

The invention discloses an engine self-adaptation system based on a vehicle operation condition and an oil-saving method. The engine self-adaptation system comprises an information center and a plurality of vehicle terminals which are in communication connection with the information center, wherein each vehicle terminal comprises a GPS (global position system) navigation module, a vehicle operation data collection module, a vehicle parameter and engine operation condition data storage module, a wireless communication module, a data operation module, a decision-making module and a vehicle control module; and the information center comprises a wireless communication module, a map data storage module, a historical data storage module and a route optimization data storage module. According to the engine self-adaptation system and the oil-saving method, the vehicle control module adjusts response characteristics of an engine and reduces maloperations of an accelerator; besides, a standard road resistance characteristic coefficient is an optimized value, so that higher reference is provided, and on the premise that the vehicle power is guaranteed, output characteristics of the engine are controlled reasonably, and the effect of saving oil saving is realized.

The invention relates to a control method for limping running of a pure electric automobile. The control method is performed in the process that a complete vehicle controller performs judgment on failures relevant to the limping running according to an accelerator pedal opening signal, a brake pressure signal, a charged electric state signal and a temperature signal of a power battery, a temperature signal of a driving motor and the like; when limping running determination conditions are satisfied, according to the set limping running vehicle speed and the actual vehicle speed of a current vehicle, the objective discharge power of the power battery is obtained through a closed loop feedback control algorithm; by combining the power value obtained through the calculation of the power value, the DCDC voltage and the current of an air conditioning system, and the maximum allowable torque of the driving motor is obtained according to the rotating speed of the driving motor and the efficiency of the system; further according to the opening of an accelerator pedal, the opening and the closing of a brake pedal, and shifting positions, manipulated by a driver, the objective torque of the driving motor at this moment is determined and output. Through the adoption of the method disclosed by the invention, the properties of vehicles under current working conditions are guaranteed, and the running safety is also guaranteed.

The invention relates to a storage battery non-damage rapid balanced charger and a control strategy thereof, belonging to a switch power supply type charger and a control method thereof. The storage battery non-damage rapid balanced charger comprises a utility power interface, a charging interface, a rectification circuit, a filtering voltage-stabilizing and current-stabilizing circuit, a micro-processing unit, a power factor correcting circuit, an intelligent half-bridge chopper circuit, a reverse-pole discharge circuit and a storage battery parameter dynamic sampling circuit; the control strategy comprises the steps that when the utility power interface is connected with utility power, the micro-processing unit can acquire the information of a storage battery by the storage battery parameter dynamic sampling circuit; after the sampling information is acquired, the micro-processing unit is used for pretreating the sampling information, and the maximum initial charging current which is allowed by the storage battery at the moment is calculated; and after the maximum initial charging current value is obtained, the micro-processing unit can be used for rapidly charging the storage battery. The charger can track the dynamic change of the internal parameters of the storage battery immediately according to the control strategy, and leads a charging object of the storage battery to be controlled to be a unit single body by adopting a secondary wave-chopping sectional control method and a positive and negative pulse rapid charging technology, thus having the advantages of non-damage rapid balanced charging and the like.

The invention provides an ECPT (Electric-field Coupled Power Transfer) system based on bilateral LC networks. A parallel LC network is applied to a transmitting end of the system, output voltage of a full-bridge inverter circuit is enhanced to a high voltage value needed by a coupling mechanism, a series LC network is applied to a receiving end of the system, output resistance is subjected to impedance transformation, and thus, in a condition of the same coupling mechanism excitation voltage, the transmission power and the efficiency of the system are higher, and on the basis, a parameter designing method for the system is provided; and on the premise of the same transmission power, compared with a higher-order ECPT system, the transmission efficiency of the system is higher, and the parameter sensitivity is lower.