36 results about "Fuel economy in automobiles" patented technology

The invention belongs to the technical field of hybrid vehicle energy management. An intelligent energy management and control method for a hybrid vehicle comprises the following steps: (1) establishing a torque equation required at a ring gear, combining a vehicle speed condition, a throttle opening degree and an acceleration value in the current state to obtain a logic threshold control method and selecting a working mode for the hybrid vehicle according to an SoC threshold of a power battery of the entire vehicle, a vehicle speed threshold and a torque threshold in the current situation; (2) building a power battery low SoC threshold calculation model in software based on a fuzzy logic control method and establishing a hybrid vehicle energy management and control model based on a logicthreshold; (3) controlling the state output of power components based on the hybrid vehicle energy management and control model and according to torque distribution. The intelligent energy managementand control method for the hybrid vehicle uses the variable logic threshold so that a torque distribution strategy can better reflect the characteristics of vehicle working conditions, thereby realizing driving intentions, improving the economical efficiency of vehicle fuel and prolonging the service life of the power battery.

The invention relates to a method and device for decision-making of a working mode of a power-split hybrid electric vehicle. The method includes the following steps: 1) Obtaining the latest working condition segment of the vehicle and the current state parameters of the vehicle; 2) Obtaining the latest working condition of the vehicle through principal component analysis The principal component score of the segment characteristic parameters, and then calculate the Euclidean distance from the latest operating condition segment to the preset clustering centers of various operating conditions, and determine the current driving condition category; 3) adopt the parameter normalization model of the corresponding category, Perform normalization processing on the current state parameters of the vehicle; 4) load the normalized parameters into the corresponding category of working mode decision sub-models, and decide the target working mode. Compared with the prior art, the present invention takes into account the influence of different working conditions, and based on the global optimal working mode decision-making sequence under various typical working conditions solved by dynamic programming, it applies BP neural network training to obtain various working conditions Under the working mode decision-making sub-model, the fuel economy of the vehicle is improved.

The present invention provides an evaluation method and device of automotive fuel economy. The method comprises a step of establishing a neural network regression calculation model and obtaining a fuel economy probability sequence according to a vehicle speed data sequence, an instantaneous fuel consumption data sequence, an engine rotation speed data sequence, an acceleration data sequence, the neural network regression calculation model, and a fuzzy probability mapping model, and a step of comparing each fuel economy probability in the fuel economy probability sequence with a preset probability threshold orderly, and evaluating the automotive fuel economy according to a comparison result. Through the method and the device, the automotive fuel non-economic process in an automotive driving process can be effectively identified, the automotive fuel economy is evaluated according to the automotive driving data corresponding to the automotive fuel non-economic process, and an automotive driving experience is improved.

The invention discloses an energy management method of a hybrid hybrid power system based on a DQN variant, which belongs to the technical field of hybrid hybrid vehicles and can improve the training convergence speed and the fuel economy of the vehicle; the invention includes: establishing a hybrid hybrid system The hybrid electric vehicle model obtains the environmental parameters that affect the energy management strategy, including road gradient and vehicle quality; uses the dynamic programming (DP) algorithm to solve the optimal energy management strategy, and saves the experience into the optimal experience pool (OEB) , combined with Hybrid Experience Replay (HER) technology, using the Dueling DQN strategy to train the model, obtain the trained deep reinforcement learning agent, and perform the energy management of the hybrid hybrid vehicle under different working conditions. The HER technology and DQN variant Dueling architecture constructed by the present invention can effectively improve the training convergence speed, vehicle fuel economy and algorithm robustness.

The invention discloses a driver-in-the-loop vehicle fuel economy control method. The method is characterized in that a vehicle is an intelligent network connection hybrid power vehicle, and the control method is a hierarchal control method in which driver random errors are considered; a superior control method in the hierarchal control method calculates an optimal target vehicle speed based on the driver random errors and state information obtained based on an intelligent network connection environment, wherein the state information comprises surrounding vehicle state information and trafficlight state information; a substratum control method in the hierarchal control method calculates the optimal energy distribution of the hybrid power vehicle based on a self-adaption equivalent fuel consumption minimum principle. According to the control method, a preset vehicle speed which is very approximate to an ideal condition can be obtained, and better fuel economy is obtained.

The invention relates to an efficient automobile exhaust thermoelectricity recovery device to achieve the purpose of improving of automobile fuel economy. The device is characterized in that a stainless steel tube is arranged between a catalytic cracker and a silencer of an exhaust tube system. A thermoelectricity recovery unit is added on the stainless steel tube, and heat at the cold end of a circular thermoelectricity chip is conducted to a cold end circular aluminum alloy heat plate to be cooled through an ultra-thin high-temperature graphite washer between the circular thermoelectricity chip and the cold end circular aluminum alloy heat plate. The device is assembled through a plurality of heat exchanger minimum units which are not affected mutually. A system thermoelectricity conversion unit which is controllable in energy transmission, that is, extendable in size and power through heat tube own heat transmission characteristics, is formed by the combination of the heat tube technology and shape improved thermoelectric materials. The device can be integrated with the silencer in limited automobile bottom space to form a multifunctional substitution product.

The invention relates to a tester for testing the fuel economical efficiency of a light-weight automobile. Aiming at the problem that an automobile can be only tested on a simulation chassis rotary drum dynamometer because the existing fuel measurer can only measure transient fuel consumption or kilometer fuel consumption, so that the economical efficiency of an actual automobile cannot be tested on a road according to a rule, the invention provides a tester for testing the fuel economical efficiency of the light-weight automobile. The tester mainly comprises a fuel consumption meter, a singlechip, an interface chip, a control panel, a display, an automobile speed sensor, a main flow sensor, an auxiliary flow sensor, forwarding gear sensors, an analog / digital (A / D) converter, a circuit and the like. Fuel consumption can be tested according to a road spectrum diagram of a circulation working condition prestored into the singlechip or a requirement of a constant-speed working condition, so that a real road condition and an actual automobile condition can be reflected, and the current transient fuel consumption, the kilometer fuel consumption and the total stored fuel consumption can be displayed and output; data cannot be lost in a state of power failure, and the data can be put off and accumulated in a state of power on; and the tester is convenient to mount, safe and reliable, and on-automobile test is convenient.

The invention discloses an anti-drag device capable of adjusting the wheel spoke hole area automatically, and relates to an anti-drag device capable of changing the hole area between spokes automatically according to the automobile speed. The anti-drag device solves the problem that the wind drag coefficient of a wheel and fuel consumption are enlarged when an automobile is driven at high speed due to the fact that air eddy is generated in a wheel cavity or positions nearby with the existence of a hole between the spokes. The anti-drag device is composed of a supporting frame, foliated cover plates and connecting transmission parts arranged between the supporting frame and the foliated cover plates, the supporting frame is fixed on a wheel hub and is located between a brake disc flange and the wheel hub, and the foliated cover plates are capable of rotating around the supporting frame. The anti-drag device does not work when the automobile speed is lower so that heat generated by frequent braking of the automobile can be emitted effectively and cannot influence the automobile. The anti-drag device is capable of decreasing the hole area between the wheel spokes automatically along with the increase of the automobile speed until the wheel hole is close to entirely closed, so that the wind drag coefficient of the automobile wheel is reduced greatly, fuel consumption is reduced, and the automobile fuel economy is improved.