A wireless energy focusing system based on multi-transmitter cooperation and artificial intelligence dynamic gating

Abstract

The present application belongs to the technical field of electric vehicle dynamic wireless charging and wireless energy transmission control, and discloses a wireless energy focusing system based on multi-transmission source cooperation and artificial intelligence dynamic gating, which comprises a multi-transmission source road transmission module, a vehicle beacon and roadside sensing module, an AI prediction and gating scheme module, a transmission unit cooperative control module and an energy space focusing module. The present application arranges multiple independent magnetic resonance type electric energy transmission units at the roadside, uses an AI model to predict the vehicle motion trajectory and forms an optimal gating scheme, adjusts the output power ratio and phase difference of each activated transmission unit, realizes energy space focusing, provides efficient dynamic wireless charging for high-speed driving vehicles in expressways and dedicated transport channels, and solves the problems of response delay, energy miss, receiving power fluctuation and transmission efficiency decline of traditional segmented dynamic wireless charging.

Description

Technical Field

[0001] This invention belongs to the field of wireless energy transmission control technology, and particularly relates to a wireless energy focusing system based on multi-source coordination and artificial intelligence dynamic gating. Background Technology

[0002] With the continuous increase in the number of electric vehicles, vehicle range, charging efficiency, and charging convenience have become important factors restricting the large-scale application of electric vehicles. Traditional fixed charging piles require vehicles to stop and wait for charging, which is difficult to meet the continuous charging needs in highways, dedicated transportation channels, port logistics roads, and long-distance heavy-duty transportation scenarios. Dynamic wireless charging technology can achieve non-contact energy transfer through electromagnetic coupling between the road surface transmitting coil and the vehicle receiving coil during vehicle operation, reducing parking charging time and improving the continuous operation capability of vehicles. However, the position of high-speed vehicles changes rapidly and lateral deviation is unavoidable. Therefore, a wireless energy focusing system based on multi-source collaboration and artificial intelligence dynamic gating is needed. Through vehicle beacons, roadside perception, AI trajectory prediction, dynamic gating, and energy spatial focusing, wireless energy transmission can be transformed from the traditional segmented triggering mode to a dynamic wireless charging mode with active prediction, multi-source collaboration, and energy spatial focusing.

[0003] The existing technology has at least the following problems that need to be improved: (1) Existing dynamic wireless charging solutions mostly adopt segmented road coil structures. They usually control the corresponding coil to be powered on and off based on the real-time vehicle position detection results. Since the time it takes for the vehicle to pass through the coil coverage area at high speed is short, there is a response delay between real-time detection, signal transmission and power start-up. This can easily lead to premature power-on, delayed power-off and energy miss-target phenomena, resulting in high no-load loss of non-target coils and the vehicle receiving coil cannot be continuously in the optimal coupling area.

[0004] (2) Existing segmented power supply methods usually use a single road coil or a single segment transmitting unit as the main power supply body. They lack the coordinated control of power ratio, output phase and switching timing between multiple adjacent transmitting units. When the vehicle deviates laterally, longitudinally or fluctuates in speed, the coupling efficiency between the receiving coil and the transmitting coil is easy to decrease.

[0005] (3) Existing dynamic wireless charging solutions usually focus on the alignment coupling between a single transmitting coil and the vehicle receiving coil, lacking an energy spatial focusing mechanism for predicting vehicle trajectories. Even if multiple adjacent transmitting units work simultaneously, they are mostly independent outputs or simple superpositions. They fail to adjust the output power ratio and phase difference of each transmitting unit in real time according to the position change of the vehicle receiving coil, making it difficult to form a spatial energy focusing point that moves with the vehicle in the area where the vehicle receiving coil is located. At the same time, existing solutions do not adequately consider the receiving end coupling enhancement structure. When the vehicle shifts laterally or the receiving power fluctuates, there is a lack of coordinated compensation between the transmitting end spatial focusing and the receiving end passive resonance enhancement, resulting in insufficient energy concentration, large fluctuations in receiving power, and unstable dynamic charging efficiency. Summary of the Invention

[0006] To address the above issues, this invention provides a wireless energy focusing system based on multi-source coordination and AI dynamic gating. By deploying multiple independent magnetic resonance energy transmitting units along the road's travel direction, and combining vehicle beacons, roadside sensing, AI trajectory prediction, dynamic gating, coordinated control of magnetic resonance energy transmitting units, and energy spatial focusing, wireless energy transmission is transformed from the traditional segmented coil passive triggering energization mode to a multi-source coordinated energy spatial focusing mode oriented towards predicting the target vehicle's trajectory.

[0007] To achieve the above objectives, the technical solution adopted by the present invention is as follows: This invention provides a wireless energy focusing system based on multi-source coordination and artificial intelligence dynamic gating, including a multi-source road transmission module, a vehicle beacon and roadside perception module, an AI prediction and gating scheme module, a transmission unit coordination control module, and an energy space focusing module.

[0008] The multi-source road-launching module is equipped with multiple independent magnetic resonance power transmission units along the road travel direction. Each independent magnetic resonance power transmission unit includes a transmitting coil, a power inverter, a resonant compensation network, a phase adjustment module, and a unit controller.

[0009] The vehicle beacon and roadside sensing module collects vehicle ID, real-time location, speed, heading angle, remaining battery power, vehicle receiving power, longitudinal position, lateral offset, lane position, and driving status.

[0010] The AI ​​prediction and gating scheme module outputs the vehicle's future short-term position sequence predicted by the artificial intelligence model based on the vehicle's historical trajectory, vehicle speed, heading angle, lane occupancy information, and lateral offset trend, and generates dynamic gating instructions for energy transmission based on the position sequence.

[0011] The transmitting unit collaborative control module activates multiple target magnetic resonance electric power transmitting units that will form coupled coverage of the predicted trajectory path of the vehicle in advance according to the dynamic gating instruction, and shuts down non-target magnetic resonance electric power transmitting units.

[0012] The energy space focusing module adjusts the output power ratio and phase difference of each activated magnetic resonance electric power transmitting unit based on the dynamic geometric relationship between the vehicle's predicted position and each activated target magnetic resonance electric power transmitting unit, and in conjunction with the vehicle's received power feedback, so that the area where the vehicle's receiving coil is located forms an energy space focusing point that moves with the vehicle's movement.

[0013] The system also includes a passive resonant enhancer at the vehicle end, which is located near the vehicle receiving coil. The passive resonant enhancer includes an enhancing resonant coil, an enhancing compensation capacitor, and an insulating support. The enhancing resonant coil and the enhancing compensation capacitor are electrically connected to form a passive resonant circuit, which is used to improve the equivalent coupling coefficient and energy receiving efficiency at the vehicle receiving coil.

[0014] After adopting the above technical solution, the beneficial effects of the present invention are as follows: (1) This invention utilizes the principles of vehicle status acquisition and AI trajectory prediction to activate multiple independent magnetic resonance power transmission units that will soon cover the vehicle receiving coil in advance, thereby achieving active prediction and gating and solving the problems of traditional segmented coil response delay, premature power-on of non-target coils, delayed power-off and high no-load loss.

[0015] (2) This invention utilizes the principle of multi-source coordinated control and energy space focusing to adjust the output power ratio and phase difference of each activated magnetic resonance electric energy transmitting unit, thereby forming an energy space focusing point that moves with the vehicle in the area where the vehicle receiving coil is located, thus improving the energy transmission efficiency when the vehicle is moving at high speed and in a deflection state.

[0016] (3) This invention utilizes the principle of passive resonant coupling enhancement. By setting a passive resonant enhancer near the vehicle receiving coil, it forms magnetic resonance coupling with the transmitting coil and the vehicle receiving coil, thereby improving the equivalent coupling coefficient and receiving power at the vehicle receiving coil. This achieves enhanced coupling coefficient at the receiving end and compensation for energy receiving efficiency under offset conditions, solving the problem of decreased energy receiving efficiency in existing dynamic wireless charging schemes when the vehicle is laterally offset, the installation space of the receiving coil is limited, and the coupling at the receiving end is insufficient. Attached Figure Description

[0017] Figure 1 This is a flowchart of the overall process of the wireless energy focusing system based on multi-source coordination and artificial intelligence dynamic gating proposed in this invention. Figure 2 This is a flowchart of the dynamic gating and spatial focusing process proposed in this invention. Detailed Implementation

[0018] Example 1, see Figures 1-2 The present invention provides a wireless energy focusing system based on multi-source coordination and artificial intelligence dynamic gating, including a multi-source road transmission module, a vehicle beacon and roadside perception module, an AI prediction and gating scheme module, a transmission unit coordination control module, an energy space focusing module, and a passive resonant enhancer.

[0019] The multi-source road-based transmission module is equipped with multiple independent magnetic resonance power transmission units along the road's direction of travel. Each independent magnetic resonance power transmission unit includes a transmission coil, a power inverter, a resonant compensation network, a phase adjustment module, and a unit controller. Each independent magnetic resonance power transmission unit can control its on / off state, output power, operating frequency, and output phase.

[0020] The vehicle beacon and roadside perception module collects vehicle ID, real-time location, speed, heading angle, remaining battery power, vehicle receiving power, longitudinal position, lateral offset, lane position, and driving status.

[0021] The AI ​​prediction and gating module receives vehicle status data and outputs a sequence of vehicle positions in the short time domain predicted by an artificial intelligence model based on the vehicle's historical trajectory, speed, heading angle, lane occupancy information, and lateral offset trend. Then, it generates dynamic gating instructions for independent magnetic resonance power transmission units based on the position sequence.

[0022] According to the dynamic gating instruction, the transmitting unit collaborative control module activates the target magnetic resonance electric power transmitting unit that forms a coupled coverage of the vehicle's predicted trajectory path in advance, and shuts down the non-target magnetic resonance electric power transmitting unit, so that the road transmitting array changes from a fixed segmented power supply mode to an active gating mode oriented towards the vehicle's predicted trajectory.

[0023] The energy spatial focusing module adjusts the output power ratio and phase difference of each activated magnetic resonance electric energy transmitting unit in real time based on the dynamic geometric relationship between the vehicle's predicted position and each activated transmitting coil, and in combination with the vehicle's received power feedback, so that the area where the vehicle's receiving coil is located forms a spatial energy focusing point that moves with the vehicle's movement.

[0024] The passive resonant intensifier is placed near the vehicle receiving coil. By forming magnetic resonance coupling with the transmitting coil and the vehicle receiving coil, the passive resonant intensifier improves the equivalent coupling coefficient and energy receiving efficiency at the vehicle receiving coil.

[0025] Through the above modules, the present invention no longer relies on the passive triggering of power-on after the vehicle passes through a certain segmented coil. Instead, it uses the AI ​​prediction and gating scheme module to predict the future position of the vehicle in advance, selects multiple adjacent magnetic resonance power transmission units through the transmission unit collaborative control module, and adjusts the power ratio and phase difference through the energy space focusing module, so that the wireless power transmission is transformed from a single-point triggering mode to a space focusing mode oriented towards the target vehicle.

[0026] Energy spatial focusing is an energy concentration method formed by the cooperation of multiple transmitters at the transmitter end, while the passive resonant enhancer is a coupling enhancement structure at the receiver end. The passive resonant enhancer enhances the energy reception efficiency at the vehicle's receiving coil.

[0027] Example 2: This example is based on all the above examples. The multi-source road-based transmission module is composed of a magnetic resonance power transmission unit array. Each magnetic resonance power transmission unit specifically includes a transmission coil, a power inverter, a resonant compensation network, a phase adjustment module, a unit controller, a temperature detection unit, and an isolation protection unit.

[0028] The magnetic resonance power transmission unit array is deployed along the driving direction of the highway or dedicated transportation channel. Multiple independent magnetic resonance power transmission units are arranged continuously at a preset interval, and an overlapping magnetic field coverage area is formed between two adjacent independent magnetic resonance power transmission units.

[0029] The transmitting coil is buried under the road surface or set on the roadside. The transmitting coil and the vehicle receiving coil transmit energy through magnetic resonance coupling. The resonant compensation network and the transmitting coil together form a magnetic resonance transmitting branch. The power inverter provides high-frequency AC power to the magnetic resonance transmitting branch, so that the transmitting coil forms a stable resonant state at the set operating frequency.

[0030] The power inverter outputs high-frequency AC power according to the power command issued by the unit controller. The phase adjustment module adjusts the output phase of the transmitting coil according to the phase command output by the energy space focusing module. The unit controller receives the dynamic gating command and controls the corresponding independent magnetic resonance power transmitting unit to enter the active state, standby state and shutdown state.

[0031] The temperature detection unit detects the temperature status of the power inverter, resonant compensation network and transmitting coil. The isolation protection unit cuts off the output of the corresponding magnetic resonance power transmitting unit when the temperature of the independent magnetic resonance power transmitting unit exceeds the safety threshold.

[0032] Through the above structure, the multi-source road-based transmission module can divide the magnetic resonance electric power transmission units deployed along the road into multiple independently controllable energy transmission nodes, enabling each transmission node to participate in dynamic gating and energy spatial focusing according to the predicted vehicle trajectory.

[0033] Example 3: This example is based on all the above examples. The vehicle beacon and roadside perception module specifically includes a vehicle-side signal transmitter, a vehicle receiving power feedback unit, a roadside receiving unit, a roadside positioning unit, a lane identification unit, and a beacon preprocessing unit.

[0034] The vehicle-side signal transmitter is installed on the electric vehicle. The vehicle-side signal transmitter broadcasts beacon signals at a fixed frequency. The beacon signals include vehicle ID, real-time location, speed, heading angle, lane number, remaining battery power, target charging power, and vehicle receiving power.

[0035] The vehicle receiving power feedback unit is electrically connected to the vehicle receiving coil and the on-board charging controller, and feeds back the coupling voltage, receiving power and charging status of the vehicle receiving coil to the roadside receiving unit.

[0036] Roadside receiving units are installed at intervals along the road. The roadside receiving units receive beacon signals emitted by vehicle-side signal transmitters and send the beacon signals to the beacon preprocessing unit.

[0037] The roadside positioning unit acquires the vehicle's longitudinal position and lateral offset relative to the magnetic resonance electric power transmission unit array, while the lane recognition unit identifies the lane the vehicle is in, the occupancy status of adjacent lanes, and lane change trends.

[0038] The beacon preprocessing unit performs time alignment, outlier removal, and trajectory smoothing on vehicle ID, real-time location, speed, heading angle, lateral offset, lane number, and vehicle receiving power to generate a vehicle state sequence.

[0039] The beacon preprocessing unit generates a smoothed vehicle trajectory state based on the vehicle state sequence. The smoothed vehicle trajectory state is calculated according to Formula 1:

[0040] In Formula 1, For the first The smoothing state of the vehicle trajectory at each sampling time. This represents the smoothed state of the vehicle trajectory at the (t-1)th sampling time. The vehicle observation state is collected at the t-th sampling time. This represents the trajectory smoothing weighting coefficient.

[0041] The vehicle state sequence and the smoothed vehicle trajectory state are sent to the AI ​​prediction and gating scheme module, enabling the AI ​​prediction and gating scheme module to obtain continuous, stable and low-latency input data when the vehicle is traveling at high speed.

[0042] Example 4: Based on all the above examples, the AI ​​prediction and gating scheme module specifically includes a historical trajectory caching unit, a trajectory prediction unit, a lane departure prediction unit, a candidate filtering unit, a dynamic gating scoring unit, and a gating instruction output unit.

[0043] The historical trajectory cache unit caches the vehicle's trajectory smoothing status, lane number, lateral offset, speed, heading angle, and received power within the past time window.

[0044] The trajectory prediction unit inputs the vehicle's historical trajectory, speed, heading angle, and lane occupancy information into the LSTM model and outputs the vehicle's future short-term position sequence predicted by the artificial intelligence model, which is 0.5 seconds to 2 seconds.

[0045] The lane departure prediction unit predicts the lane departure trend of a vehicle in the short time domain in the future based on the vehicle's lateral deviation, lateral deviation rate of change, and heading angle change.

[0046] The candidate selection unit determines a group of magnetic resonance power transmitting units that will cover the vehicle receiving coil based on the position sequence and the center position of each independent magnetic resonance power transmitting unit. The candidate magnetic resonance power transmitting units include independent magnetic resonance power transmitting units whose magnetic field coverage area is located in the area in front of the vehicle's predicted position, the area corresponding to the vehicle's predicted position, and the adjacent area behind the vehicle's predicted position.

[0047] The dynamic gating scoring unit generates gating scores for each candidate magnetic resonance power transmitting unit based on the vehicle's predicted position, vehicle speed, lateral offset, center distance of the magnetic resonance power transmitting unit, remaining vehicle power, and safety status of the magnetic resonance power transmitting unit. The gating scores are calculated according to Formula 2:

[0048] In Formula 2, The gating score for the i-th candidate magnetic resonance power transmission unit is... Let be the distance between the predicted position of the vehicle and the center position of the i-th candidate magnetic resonance power transmission unit. This represents the vehicle speed status value. This represents the lateral offset of the vehicle. This represents the vehicle's remaining battery power requirement. Let be the safety risk value of the i-th candidate magnetic resonance power transmission unit. , , , and These are the weight coefficients for the corresponding items, ranging from 0 to 1, with the sum of the weight coefficients being 1. Exponential decay is highly sensitive to parameters and has high computational complexity in high-speed dynamic scenarios. Therefore, the reciprocal form is chosen, which has better real-time performance and stability while ensuring monotonic decay characteristics, and is more suitable for fast gating decision-making scenarios with multiple transmission units. In Formula 2, the distance, speed, lateral matching distance, vehicle remaining power demand value, and safety risk value involved in the calculation are all normalized state values.

[0049] The gating instruction output unit selects the target magnetic resonance electric power transmission unit group according to the gating score, and outputs a dynamic gating instruction containing the magnetic resonance electric power transmission unit number, advance activation time, initial output power, initial operating phase and shutdown time.

[0050] Regarding parameter adjustments: The first step is to increase the weight of the vehicle speed state value as the vehicle speed increases and increase the early activation time so that the magnetic resonance power transmission unit group can complete the resonance establishment before the vehicle receiving coil arrives.

[0051] The second step is to increase the weight corresponding to the lateral offset when the vehicle's lateral offset increases, so that the target magnetic resonance power transmission unit group is expanded to the adjacent magnetic resonance power transmission unit.

[0052] The third step is to increase the weight of the vehicle's remaining power demand value when the vehicle's remaining power demand value increases, so that the system prioritizes the receiving power of the target vehicle.

[0053] Fourth, when the safety risk value of the magnetic resonance power transmission unit increases, the penalty weight corresponding to the safety risk value is increased, and the probability of the corresponding magnetic resonance power transmission unit entering the target magnetic resonance power transmission unit group is reduced.

[0054] Through the above processing, the AI ​​prediction and gating scheme module can generate dynamic gating instructions in advance, solving the problem that traditional segmented power supply relies solely on real-time position detection and is prone to response delays and energy misses in high-speed driving scenarios.

[0055] Example 5: Based on all the above examples, the transmitting unit cooperative control module specifically includes a gating instruction parsing unit, an activation timing control unit, a power allocation initialization unit, a non-target unit shutdown unit, a switching continuity control unit, and a cooperative status recording unit.

[0056] The gating instruction parsing unit receives the dynamic gating instructions output by the AI ​​prediction and gating scheme module, and parses the target magnetic resonance electric power transmission unit number, advance activation time, initial output power, initial operating phase and shutdown time.

[0057] The activation timing control unit activates multiple independent magnetic resonance power transmitting units that will soon cover the vehicle's receiving coil in advance, based on the vehicle speed and the position of each target magnetic resonance power transmitting unit. This ensures that each target magnetic resonance power transmitting unit enters a stable resonance state before the vehicle's receiving coil enters the corresponding magnetic field coverage area.

[0058] The initial power allocation unit allocates initial output power to each target magnetic resonance electric power transmitting unit based on the distance between each target magnetic resonance electric power transmitting unit and the predicted position of the vehicle. The target magnetic resonance electric power transmitting unit that is closer to the predicted position of the vehicle receives a higher initial output power.

[0059] The non-target unit shutdown unit puts independent magnetic resonance electric power transmitting units that are far from the vehicle's predicted location and do not participate in energy space focusing into standby or shutdown state, reducing no-load losses.

[0060] When the vehicle moves from one target magnetic resonance power transmission unit group to the next, the switching continuity control unit controls the previous target magnetic resonance power transmission unit to gradually reduce its output power and controls the next target magnetic resonance power transmission unit to gradually increase its output power, so that the vehicle's received power remains continuously changing.

[0061] The collaborative state recording unit records the activation time, shutdown time, output power, output phase, temperature status, and safety status of each independent magnetic resonance power transmission unit, and sends the collaborative state record to the energy space focusing module.

[0062] Through the above processing, the transmitting unit collaborative control module can realize the early activation, collaborative output and timely shutdown of multiple magnetic resonance electric power transmitting units when the vehicle is moving at high speed, solving the problems of large no-load loss, discontinuous power switching and low offset tolerance of the traditional single-segment coil energizing method.

[0063] Example 6: This example is based on all the above examples. The energy space focusing module specifically includes a geometric relationship modeling unit, a magnetic field superposition calculation unit, a phase difference calculation unit, a power ratio adjustment unit, a received power feedback correction unit, and a moving focus point following unit.

[0064] The geometric relationship modeling unit establishes a dynamic geometric relationship between the vehicle's future short-term position sequence predicted by the artificial intelligence model and the center position of each target magnetic resonance electric power transmission unit.

[0065] The magnetic field superposition calculation unit calculates the combined magnetic field state of each activated magnetic resonance power transmitting unit in the area where the vehicle receiving coil is located based on dynamic geometric relationships.

[0066] The phase difference calculation unit calculates the output phase difference of each target magnetic resonance power transmitting unit based on the position of the vehicle receiving coil and the position of each target magnetic resonance power transmitting unit, so that the magnetic fields generated by each magnetic resonance power transmitting unit are superimposed in the same direction in the area where the vehicle receiving coil is located.

[0067] The power ratio adjustment unit allocates power ratios based on the distance between the predicted vehicle position and the center position of each target magnetic resonance power transmitting unit, so that the target magnetic resonance power transmitting unit closer to the vehicle receiving coil outputs higher power, and the target magnetic resonance power transmitting unit farther away from the vehicle receiving coil outputs lower power.

[0068] The receiving power feedback correction unit receives the coupling voltage and received power uploaded by the vehicle receiving power feedback unit, and corrects the power ratio and phase difference of the target magnetic resonance electric power transmitting unit according to the received power deviation.

[0069] The moving focus point following unit continuously updates the power ratio and phase difference based on the vehicle's future short-term position sequence predicted by an artificial intelligence model, so that the energy space focus point moves with the vehicle.

[0070] The energy space focusing module generates a focusing correction amount based on the synthetic magnetic field state and received power feedback. The focusing correction amount is calculated according to Formula 3:

[0071] In Formula 3, Let be the focusing correction amount for the t-th control cycle. For the target received power, Let be the vehicle's received power in the t-th control cycle. Let be the phase deviation in the t-th control cycle. Let be the predicted position deviation for the t-th control cycle. , and These are the weighting coefficients for the corresponding items, with values ​​ranging from 0 to 1. The sum of the weighting coefficients is 1. In Formula 3, the difference between the target received power and the vehicle received power, the phase deviation, and the predicted position deviation have all been normalized.

[0072] Regarding parameter adjustments: The first step is to increase the power ratio of the target magnetic resonance power transmitting unit that is close to the vehicle's receiving coil when the vehicle's receiving power is lower than the target receiving power.

[0073] The second step is to increase the power ratio of adjacent magnetic resonance electric energy transmitting units participating in focusing when the lateral offset of the vehicle increases, so that the spatial energy focusing point moves in the direction of the vehicle receiving coil offset.

[0074] The third step is to reduce the phase adjustment step size and increase the update frequency of the phase difference calculation unit when the phase deviation increases.

[0075] Fourth, when the predicted position deviation increases continuously, the weight of the received power feedback correction unit is increased, making the system more dependent on the actual received power feedback at the vehicle end.

[0076] Through the above processing, the energy space focusing module enables multiple activated magnetic resonance power transmitting units to form a moving energy space focusing point in the area where the vehicle receiving coil is located, solving the problem of the sharp decrease in coupling efficiency of traditional single coil or segmented coil solutions in scenarios of longitudinal and lateral displacement of the vehicle and high-speed driving.

[0077] It should be noted that the energy space focusing module mainly forms energy concentration in the area where the vehicle receiving coil is located by adjusting the output power ratio and phase difference of multiple independent magnetic resonance electric energy transmitting units at the transmitting end; the passive resonant enhancer is mainly arranged near the vehicle receiving coil, and improves the equivalent coupling coefficient at the vehicle receiving coil through passive resonant coupling. The two improve the vehicle energy receiving efficiency from the two directions of energy concentration and coupling enhancement at the receiving end, respectively.

[0078] Example 7: This example is based on all the above examples. The passive resonant enhancer specifically includes an enhanced resonant coil, an enhanced compensation capacitor, and an insulating support.

[0079] The enhanced resonant coil and the enhanced compensation capacitor are electrically connected to form a passive resonant circuit, and the insulating support fixes the relative position between the enhanced resonant coil and the vehicle receiving coil.

[0080] The reinforcing resonant coil can be placed at any location on the side of the vehicle receiving coil closest to the transmitting coil, in the outer periphery of the vehicle receiving coil, or in the adjacent lateral area of ​​the vehicle receiving coil. The location of the reinforcing resonant coil is selected based on the orientation of the transmitting coil, the installation location of the vehicle receiving coil, and the vehicle installation space.

[0081] When the transmitting coil is buried under the road surface, the reinforcing resonant coil is arranged on the side of the vehicle receiving coil closest to the road surface; when the transmitting coil is located on the roadside, the reinforcing resonant coil is arranged on the side of the vehicle receiving coil closest to the roadside transmitting coil, so that the reinforcing resonant coil is within the magnetic field coupling path between the transmitting coil and the vehicle receiving coil.

[0082] The resonant frequency of the enhanced resonant coil is matched with the operating frequency of the independent magnetic resonance power transmission unit. The enhanced compensation capacitor is configured according to the inductance of the enhanced resonant coil so that the passive resonant enhancer forms a resonant state near the operating frequency.

[0083] The passive resonant enhancer does not have an active power input terminal, is not connected to a power inverter, does not participate in the process of generating dynamic gating instructions by the AI ​​prediction and gating scheme module, and does not change the activation, standby, and shutdown control of the independent magnetic resonance power transmission unit by the transmitting unit collaborative control module.

[0084] When the vehicle enters the vicinity of the space energy focusing point, the magnetic field generated by the activated magnetic resonance electric energy transmitting unit first forms a magnetic resonance coupling with the passive resonant enhancer. The passive resonant enhancer enhances the magnetic field coupling strength near the vehicle receiving coil in the resonant state, thereby increasing the equivalent coupling coefficient between the vehicle receiving coil and the transmitting coil, thus improving the receiving power and energy receiving efficiency of the vehicle receiving coil.

[0085] When the lateral offset of the vehicle increases, the passive resonant intensifier can expand the effective coupling area near the vehicle receiving coil, so that the vehicle receiving coil can still maintain a high receiving power in the offset state. When the vehicle receiving power feedback unit detects that the receiving power is lower than the target receiving power, the energy space focusing module still performs transmitter focusing correction by adjusting the output power ratio and phase difference of the transmitter. The passive resonant intensifier simultaneously improves the energy receiving efficiency through passive resonant coupling at the receiver.

[0086] With the above structure, the passive resonant enhancer can serve as a coupling enhancement structure at the receiver end, working in conjunction with the energy space focusing module at the transmitter end. This allows the system to improve the equivalent coupling coefficient and received power at the vehicle receiver coil without changing the dynamic gating main control logic, thus solving the problems of insufficient coupling efficiency at the vehicle receiver end, decreased received power under offset conditions, and insufficient utilization of received energy.

Claims

1. A wireless energy focusing system based on multi-source coordination and artificial intelligence dynamic gating, characterized in that: It includes a multi-source road-launching module, a vehicle beacon and roadside perception module, an AI prediction and gating scheme module, a launch unit collaborative control module, and an energy space focusing module; The multi-source road-launching module is equipped with multiple independent magnetic resonance power transmission units along the road travel direction. Each independent magnetic resonance power transmission unit includes a transmitting coil, a power inverter, a resonant compensation network, a phase adjustment module, and a unit controller. The vehicle beacon and roadside sensing module collects vehicle ID, real-time location, speed, heading angle, remaining battery power, vehicle receiving power, longitudinal position, lateral offset, lane position, and driving status. The AI ​​prediction and gating scheme module outputs the vehicle's future short-term position sequence predicted by the artificial intelligence model based on the vehicle's historical trajectory, vehicle speed, heading angle, lane occupancy information and lateral offset trend, and generates dynamic gating instructions for energy transmission based on the position sequence. The transmitting unit collaborative control module activates the target magnetic resonance electric power transmitting unit in advance and shuts down the non-target magnetic resonance electric power transmitting unit according to the dynamic gating instruction. The energy space focusing module adjusts the output power ratio and phase difference of each activated magnetic resonance electric power transmitting unit based on the dynamic geometric relationship between the vehicle's predicted position and each activated magnetic resonance electric power transmitting unit, and in combination with the vehicle's received power feedback, to form an energy space focusing point that moves with the vehicle.

2. The wireless energy focusing system based on multi-source coordination and artificial intelligence dynamic gating as described in claim 1, characterized in that: The multi-source road-launching module consists of an array of magnetic resonance power transmission units. Each magnetic resonance power transmission unit includes a transmission coil, a power inverter, a resonant compensation network, a phase adjustment unit, a unit controller, a temperature detection unit, and an isolation protection unit. Multiple independent magnetic resonance power transmission units are arranged continuously at a preset spacing, and an overlapping magnetic field coverage area is formed between two adjacent independent magnetic resonance power transmission units. The resonant compensation network and the transmitting coil together form a magnetic resonance transmitting branch. The power inverter provides high-frequency AC power to the magnetic resonance transmitting branch, and the phase adjustment unit adjusts the output phase of the transmitting coil. The temperature detection unit detects the temperature status of the power inverter, resonant compensation network and transmitting coil, and the isolation protection unit cuts off the output of the corresponding transmitting coil when the temperature of the independent magnetic resonance power transmitting unit exceeds the safety threshold.

3. The wireless energy focusing system based on multi-source coordination and artificial intelligence dynamic gating as described in claim 1, characterized in that: The vehicle beacon and roadside perception module includes a vehicle-end signal transmitter, a vehicle receiving power feedback unit, a roadside receiving unit, a roadside positioning unit, a lane recognition unit, and a beacon preprocessing unit. The vehicle-side signal transmitter broadcasts beacon signals at a fixed frequency. The vehicle receiving power feedback unit is electrically connected to the vehicle receiving coil and the on-board charging controller, and feeds back the coupling voltage, receiving power and charging status of the vehicle receiving coil to the roadside receiving unit. The roadside receiving unit is a signal receiver arranged on the roadside, used to receive various vehicle signals and data; The roadside positioning unit acquires the longitudinal position and lateral offset of the vehicle relative to the magnetic resonance power transmitting unit array, and the lane recognition unit identifies the lane in which the vehicle is located, the occupancy status of adjacent lanes, and the lane change trend. The beacon preprocessing unit performs time alignment, outlier removal, and trajectory smoothing on the vehicle ID, real-time location, speed, heading angle, lateral offset, lane number, and vehicle receiving power to generate a vehicle state sequence.

4. A wireless energy focusing system based on multi-source coordination and artificial intelligence dynamic gating as described in claim 1, characterized in that: The AI ​​prediction and gating scheme module includes a historical trajectory caching unit, a trajectory prediction unit, a lane departure prediction unit, a candidate filtering unit, a dynamic gating scoring unit, and a gating instruction output unit; The historical trajectory cache unit stores the vehicle's trajectory smoothing status, lane number, lateral offset, speed, heading angle, and receiving power within the past time window; The trajectory prediction unit inputs the vehicle's historical trajectory, speed, heading angle, and lane occupancy information into the artificial intelligence model, and outputs the vehicle's future short-term position sequence predicted by the artificial intelligence model. The lane departure prediction unit predicts the lane departure trend of the vehicle in the short time domain in the future based on the vehicle's lateral deviation, lateral deviation rate of change, and heading angle change. The screening unit determines a group of candidate magnetic resonance power transmitting units that will cover the vehicle's receiving coil based on the position sequence and the center position of each independent magnetic resonance power transmitting unit. The gating instruction output unit selects the target magnetic resonance electric power transmission unit group according to the gating score, and outputs a dynamic gating instruction containing the magnetic resonance electric power transmission unit number, advance activation time, initial output power, initial operating phase and shutdown time.

5. A wireless energy focusing system based on multi-source coordination and artificial intelligence dynamic gating as described in claim 1, characterized in that: The transmitting unit collaborative control module includes a gating instruction parsing unit, an activation timing control unit, a power allocation initialization unit, a non-target magnetic resonance electric power transmitting unit shutdown unit, a switching continuity control unit, and a collaborative status recording unit. The gating instruction parsing unit parses the target magnetic resonance electric power transmission unit number, advance activation time, initial output power, initial operating phase, and shutdown time; The activation timing control unit activates the target magnetic resonance power transmission unit group that will soon cover the vehicle's receiving coil in advance, based on the vehicle speed and the location of the target magnetic resonance power transmission unit. The power allocation initial unit allocates initial output power based on the distance between the target magnetic resonance electric power transmission unit group and the predicted position of the vehicle; The non-target magnetic resonance electric power transmission unit shutdown unit sets independent magnetic resonance electric power transmission units that are far from the vehicle's predicted location and do not participate in energy space focusing to standby and shutdown states; When the vehicle moves from one target magnetic resonance power transmission unit group to the next target magnetic resonance power transmission unit group, the switching continuity control unit controls the previous target magnetic resonance power transmission unit to gradually reduce its output power and controls the next target magnetic resonance power transmission unit to gradually increase its output power.

6. A wireless energy focusing system based on multi-source coordination and artificial intelligence dynamic gating as described in claim 1, characterized in that: The energy space focusing module includes a geometric relationship modeling unit, a magnetic field superposition calculation unit, a phase difference calculation unit, a power ratio adjustment unit, a received power feedback correction unit, and a moving focus point following unit; The geometric relationship modeling unit establishes a dynamic geometric relationship between the vehicle's future short-term position sequence predicted by the artificial intelligence model and the center position of each target magnetic resonance electric power transmission unit. The magnetic field superposition calculation unit calculates the combined magnetic field state of each activated magnetic resonance power transmitting unit in the area where the vehicle receiving coil is located, based on dynamic geometric relationships. The phase difference calculation unit calculates the output phase difference of each target magnetic resonance electric power transmitting unit based on the position of the vehicle receiving coil and the position of each transmitting coil, so that the magnetic fields generated by each magnetic resonance electric power transmitting unit are superimposed in the same direction in the area where the vehicle receiving coil is located. The power ratio adjustment unit allocates the power ratio according to the distance between the predicted position of the vehicle and the center position of each target magnetic resonance electric power transmitting unit. The receiving power feedback correction unit corrects the power ratio and phase difference of the target magnetic resonance electric power transmitting unit based on the coupling voltage and receiving power uploaded by the vehicle receiving power feedback unit. The moving focal point following unit continuously updates the power ratio and phase difference of each target magnetic resonance electric power transmitting unit based on the vehicle's future short-term position sequence predicted by the artificial intelligence model, so that the spatial energy focal point moves with the vehicle.

7. A wireless energy focusing system based on multi-source coordination and artificial intelligence dynamic gating as described in claim 1, characterized in that: The system's vehicle end also includes a passive resonant enhancer, which is located near the vehicle's receiving coil; The passive resonant enhancer includes an enhancing resonant coil, an enhancing compensation capacitor, and an insulating support. The enhancing resonant coil and the enhancing compensation capacitor are electrically connected to form a passive resonant circuit. The insulating support fixes the relative position between the enhancing resonant coil and the vehicle receiving coil. The resonant frequency of the passive resonant circuit is matched with the operating frequency of the magnetic resonance power transmission unit.

8. A wireless energy focusing system based on multi-source coordination and artificial intelligence dynamic gating as described in claim 7, characterized in that: The passive resonant enhancer does not have an active power input terminal, is not connected to a power inverter, and does not participate in the process of generating dynamic gating instructions by the AI ​​prediction and gating scheme module. The passive resonant enhancer is located within the magnetic field coupling path between the transmitting coil and the vehicle receiving coil. The passive resonant enhancer improves the equivalent coupling coefficient and receiving power at the vehicle receiving coil through passive resonant coupling.

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