VEHICLE UNDERCARRIAGE PROTECTION SYSTEM AND THE METHOD THEREOF

Abstract

The present disclosure relates to a vehicle undercarriage protection system. The system (102) include sensors (104) monitor and detect real-time data of an environment, real-time data can include ground clearance, load distribution, and obstacle proximity. Auxiliary tire unit (106) with auxiliary tires (108) facilitates to deploy and retract based on real-time data. A control unit (110) receives the real-time data detected using the sensors (104). The control unit (110) analyse the real-time data using pre-stored machine learning models and identifies patterns based on real-time data. The control unit (110) triggers operation based on the identified patterns to optimize vehicle undercarriage protection and load management, operation includes a controlled deployment of the auxiliary tires (108), or retraction of auxiliary tires (108).

Specification

Description:TECHNICAL FIELD
[0001] The present disclosure relates to a field of an automotive safety system. More precisely, the present disclosure relates to a system and method for facilitating vehicle undercarriage protection to prevent damage from speed bumps and uneven surfaces encountered on a road surface.

BACKGROUND
[0002] The following description of the related art is intended to provide background information pertaining to the field of the present disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section is used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of the prior art.
[0003] Vehicle undercarriage protection is a critical aspect of automotive safety and durability, designed to shield vital components from damage caused by obstacles encountered on the road. As vehicles traverse diverse terrains, the undercarriage is particularly vulnerable to impacts from potholes, speed bumps, and uneven surfaces. To mitigate such risks, various protection systems have been developed, including skid plates, lift kits, and air suspension systems.
[0004] While these existing technologies provide some degree of protection, they have significant limitations. Static solutions, such as skid plates and other protective measures, offer generalized undercarriage protection but do not adjust to real-time road conditions or varying vehicle loads. This lack of adaptability can result in inadequate coverage of high-risk areas, especially when the vehicle is fully loaded. Furthermore, these systems often add considerable weight to the vehicle, negatively impacting fuel efficiency and overall performance. Advanced systems like air suspensions, while offering some benefits, require frequent and costly maintenance, making them less accessible to all vehicle owners. Additionally, air suspensions and lift kits do not specifically address undercarriage protection needs when the vehicle is fully loaded, potentially compromising safety and durability. Moreover, lift kits can negatively affect the vehicle's stability and handling, introducing further challenges for drivers. Moreover, the limitations of existing vehicle undercarriage protection systems highlight the pressing need for the development of a more effective and adaptable solution. A new system that facilitates comprehensive undercarriage protection is essential to enhance vehicle safety, improve durability, and accommodate the diverse challenges faced by drivers on varying terrains.
[0005] There is, therefore, a need in the art to provide a system and method that can overcome the shortcomings of the existing prior arts.

OBJECTS OF THE PRESENT DISCLOSURE
[0006] Some of the objects of the present disclosure, which at least one embodiment herein satisfies are as listed herein below.
[0007] It is an object of the present disclosure to provide a system and method for facilitating vehicle undercarriage protection to prevent damage from speed bumps and uneven surfaces encountered on a road surface.
[0008] It is another object of the present disclosure to provide a vehicle undercarriage protection system and the method thereof, which utilizes sensor-controlled auxiliary tires that dynamically deploy based on real-time data, offering adaptive protection that responds to road-changing conditions.
[0009] It is another object of the present disclosure to provide a vehicle undercarriage protection system and the method thereof, which minimizes additional weight and preserves fuel economy by utilising a lightweight auxiliary tires and deploying when needed.
[00010] It is another object of the present disclosure to provide a vehicle undercarriage protection system and the method thereof, which prevents undercarriage scraping and damage from obstacles for heavily loaded vehicles.

SUMMARY
[00011] This summary is provided to introduce certain objects and aspects of the present disclosure in a simplified form that are further described below in the detailed description. This summary is not intended to identify the key features or the scope of the claimed subject matter.
[00012] An aspect of the present disclosure relates to a vehicle undercarriage protection system. The system can include sensors to monitor and detect real-time data of an environment, the real-time data includes ground clearance, load distribution, and obstacle proximity. The system can include an auxiliary tire unit with auxiliary tires, auxiliary tire unit facilitates to deploy or retract the auxiliary tires based on the real-time data. The system can include a control unit, and a memory coupled to the control unit, said memory having instructions executable by the control unit to receive the real-time data detected using the sensors. The control unit can analyse the real-time data using pre-stored machine learning models and identify patterns based on the real-time data, the pre-stored machine learning models trained on historical vehicle and environmental data. The control unit can trigger at least one operation based on the identified patterns to optimize vehicle undercarriage protection and load management, the at least one operation can include at least one of a controlled deployment of the plurality of auxiliary tires, or retraction of the plurality of auxiliary tires.
[00013] In an aspect, a method for vehicle undercarriage protection. The method includes the steps of monitoring and detecting real-time data of an environment by sensors. The method includes the steps of receiving the real-time data by a control unit from the sensors. The method includes the steps of analysing the real-time data using pre-stored machine learning models and identifying patterns based on the real-time data, the pre-stored machine learning models trained on historical vehicle and environmental data. The method includes the steps of triggering at least one operation based on the identified patterns and optimizing vehicle undercarriage protection and load management, the at least one operation can include at least one of a controlled deployment of the plurality of auxiliary tires, or retraction of the plurality of auxiliary tires.
[00014] Various objects, features, aspects, and advantages of the present disclosure will become more apparent from the following detailed description of preferred embodiments, along with the accompanying drawing figures in which numerals represent like features.
[00015] Within the scope of this application, it is expressly envisaged that the various aspects, embodiments, examples, and alternatives set out in the preceding paragraphs, in the claims and/or in the following description and drawings, and in particular the individual features thereof, may be taken independently or in any combination. Features described in connection with one embodiment are applicable to all embodiments, unless such features are incompatible.

BRIEF DESCRIPTION OF THE DRAWINGS
[00016] In the figures, similar components and/or features may have the same reference label. Further, various components of the same type may be distinguished by following the reference label with a second label that distinguishes among the similar components. If only the first reference label is used in the specification, the description is applicable to any one of the similar components having the same first reference label irrespective of the second reference label.
[00017] FIG. 1 illustrates a block diagram of the proposed vehicle undercarriage protection system, by an embodiment of the present disclosure.
[00018] FIG. 2A illustrates an exemplary representation of a vehicle with retracted auxiliary tires, in accordance with an embodiment of the present disclosure.
[00019] FIG. 2B illustrates an exemplary representation of a vehicle with deployed auxiliary tires, in accordance with an embodiment of the present disclosure.
[00020] FIG. 3 illustrates a flow diagram illustrating a method for facilitating vehicle undercarriage protection, in accordance with an embodiment of the present disclosure.

DETAILED DESCRIPTION
[00021] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to clearly communicate the disclosure. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
[00022] In the following description, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the present disclosure. It will be apparent to one skilled in the art that embodiments of the present disclosure may be practiced without some of these specific details.
[00023] The present disclosure relates to a field of an automotive safety system. More precisely, the present disclosure relates to a system and method for facilitating vehicle undercarriage protection to prevent damage from speed bumps and uneven surfaces encountered on a road surface.
[00024] An aspect of the present disclosure relates to a vehicle undercarriage protection system. The system can include sensors to monitor and detect real-time data of an environment, the real-time data includes ground clearance, load distribution, and obstacle proximity. The system can include an auxiliary tire unit with auxiliary tires, auxiliary tire unit facilitates to deploy or retract the auxiliary tires based on the real-time data. The system can include a control unit, and a memory coupled to the control unit, said memory having instructions executable by the control unit to receive the real-time data detected using the sensors. The control unit can analyse the real-time data using pre-stored machine learning models and identify patterns based on the real-time data, the pre-stored machine learning models trained on historical vehicle and environmental data. The control unit can trigger at least one operation based on the identified patterns to optimize vehicle undercarriage protection and load management, the at least one operation can include at least one of a controlled deployment of the plurality of auxiliary tires, or retraction of the plurality of auxiliary tires.
[00025] FIG. 1 illustrates a block diagram of the proposed vehicle undercarriage protection system (102), in accordance with an embodiment of the present disclosure.
[00026] In an embodiment, the proposed vehicle undercarriage protection system (102) can include a plurality of sensors (104), an auxiliary tire unit (106) with a plurality of tires (108), a control unit (110), a memory (112), a solenoid-actuated assembly (114), an auxiliary suspension assembly (116), and a relay (118). The plurality of sensors (104) can include a plurality of load cells (104-1), a plurality of ground clearance sensors (104-2), a plurality of infrared sensors (104-3), or a plurality of photoelectric sensors (104-4).
[00027] In an embodiment, the vehicle undercarriage protection system (102) configured to prevent undercarriage damage of a vehicle (refer FIG. 2A) from speed bumps and uneven surfaces encountered on a road surface. The system (102) features adaptable auxiliary tires (108) positioned centrally beneath the vehicle, mounted on the auxiliary suspension assembly (116) that operates independently of a primary suspension. Activation of these tires (108) is driven by inputs from the plurality of sensors (104), which collectively feed real-time data to a dedicated controller or a control unit (110).
[00028] In an embodiment, the controller or the control unit (110) may be implemented as one or more processor(s), one or more microprocessors, microcomputers, microcontrollers, edge or fog microcontrollers, digital signal processors, central processing units, logic circuitries, and/or any devices that process data based on operational instructions. Among other capabilities, control unit (110) may be configured to fetch and execute computer-readable instructions stored in the memory (112) of the system (102). The memory (112) may be configured to store one or more computer-readable instructions or routines in a non-transitory computer-readable storage medium, which may be fetched and executed to create or share data packets over a network service. The memory (112) may include any non-transitory storage device including, for example, volatile memory such as Random Access Memory (RAM), or non-volatile memory such as Erasable Programmable Read-Only Memory (EPROM), flash memory, and the like.
[00029] In an embodiment, the controller or the control unit (110) may be configured to determine the deployment of the tires (108) based on real-time sensor data/ real-time data. The real-time data can include ground clearance, load distribution, and obstacle proximity. The system (102) is particularly advantageous for heavily loaded vehicles, preventing undercarriage scraping and damage from obstacles. The system (102) facilitates geometric optimization, synchronization mechanisms, manual activation options, risk minimization, scratch prevention, bump avoidance, and speed breaker protection. The system (102) integrates seamlessly with conventional protection methods, requires minimal structural modifications, and enhances overall passenger safety.
[00030] In an embodiment, the system (102) can include a plurality of sensors (104) which can be configured to monitor and detect real-time data of an environment. The real-time data can include ground clearance, load distribution, and obstacle proximity. The environment pertains to paved roads, unpaved roads, rough terrain, speed bumps, obstacles, curbs, or large rocks. The auxiliary tire unit (106) can include the plurality of auxiliary tires (108), and the plurality of auxiliary tires (108) can be deployed or retracted based on the real-time data. The plurality of load cells (104-1) can be configured to measure the weight and distribution of the load in the vehicle. The plurality of ground clearance sensors (104-2) can be configured to track the distance between the undercarriage and the road. The infrared sensors (104-3) can be configured to emit infrared light or laser beams to detect obstacles and measure distances accurately. The photoelectric sensors (104-4) can be configured to emit a light beam that, when interrupted by an obstacle, triggers a response from the system (102). The photoelectric sensors (104-4) are used to detect smaller or lower-lying objects that could damage the undercarriage. Upon detecting such an object, the system (102) can either raise the vehicle's ground clearance or activate auxiliary protection, preventing direct contact with the undercarriage
[00031] In an embodiment, the memory (112) coupled to the control unit (110), said memory (112) having instructions executable by the control unit (110) to receive the real-time data detected using the plurality of sensors (104). The control unit (110) can be configured to analyse the real-time data using pre-stored machine learning models and identify patterns based on the real-time data. The pre-stored machine learning models may be trained on historical vehicle and environmental data. The patterns can include ground clearance patterns, load distribution shifts, or obstacle proximity patterns. The historical vehicle and environmental data can include minimum and maximum safe ground clearance values, load distribution tolerances based on different vehicle weights and configurations, or obstacle proximity limits applicable to different terrains. The control unit (110) may be configured to trigger at least one operation based on the identified patterns to optimize vehicle undercarriage protection and load management, the at least one operation can include at least one of a controlled deployment of the plurality of auxiliary tires (108), or retraction of the plurality of auxiliary tires (108) to prevent damage of the vehicle from speed bumps and uneven surfaces on the road.
[00032] In an embodiment, the control unit (110) can be configured to determine the extent of deployment of the auxiliary tires (108) using the pre-stored machine learning models based on the identified patterns. The pre-stored machine learning models are configured to predict the extent of deployment of the plurality of auxiliary tires (108) by recognizing the patterns that indicate the need for additional vehicle protection or load management.
[00033] In an embodiment, the solenoid-actuated assembly (114) operatively coupled to the control unit (110), where the control unit (110) can be configured to actuate the solenoid-actuated assembly (114) for the controlled deployment or retraction of the plurality of auxiliary tires (108) in response to the identified patterns.
[00034] In an embodiment, the auxiliary suspension assembly (116) for the plurality of auxiliary tires (108) can be configured to ensure smooth and effective operation of the deployment and retraction of the plurality of auxiliary tires (108).
[00035] In an embodiment, the system (102) can include the relay (118) operatively coupled to the control unit (110), and the relay (118) can be configured to allow at least one user to override the automatic deployment of the plurality of auxiliary tires (108) in specific situations where manual intervention is preferred, the specific situations pertain to weather-related conditions or emergency situations. The plurality of auxiliary tires (108) can be configured to provide trailing and load-bearing support and prevent vehicle undercarriage damage from speed bumps, rough terrain, and obstacles for enhancing vehicle safety and performance.
[00036] FIG. 2A illustrates an exemplary representation of a vehicle with retracted auxiliary tires, in accordance with an embodiment of the present disclosure.
[00037] In an embodiment, the system (102) may be implemented or positioned centrally beneath the vehicle (202). The system (102) may be configured to enable the solenoid-actuated assembly (114) to retract the plurality of auxiliary tires (108) in response to the identified patterns.
[00038] FIG. 2B illustrates an exemplary representation of a vehicle with deployed auxiliary tires, in accordance with an embodiment of the present disclosure.
[00039] In an embodiment, the diagram 200b depicts the can include the adaptable auxiliary tires (108). The auxiliary tires (108) can include two smaller tires located centrally beneath the vehicle's undercarriage, roughly one-fourth the size of the primary vehicle tires. The auxiliary tires (108) can be configured to provide trailing and load-bearing support when deployed, preventing the undercarriage from scraping or striking obstacles. The auxiliary tires (108) are connected through a connecting rod (204).
[00040] In an embodiment, the specialized or auxiliary suspension assembly (116) is designed specifically for the auxiliary tires (108). The auxiliary suspension assembly (116) can be configured to operate independently from the vehicle's primary suspension, ensuring seamless integration and functionality without interference. The plurality of load cells (104-1) can be configured to measure the weight and distribution of the load in the vehicle. The plurality of ground clearance sensors (104-2) can be configured to track the distance between the undercarriage and the road. The infrared sensors (104-3) can be configured to emit infrared light or laser beams to detect obstacles and measure distances accurately. The photoelectric sensors (104-4) can be configured to emit a light beam that, when interrupted by an obstacle, triggers a response from the system (102). The photoelectric sensors (104-4) are used to detect smaller or lower-lying objects that could damage the undercarriage. Upon detecting such an object, the system (102) can either raise the vehicle's ground clearance or activate auxiliary protection, preventing direct contact with the undercarriage.
[00041] In an embodiment, the control unit (110) may be a central processing unit that collects real-time data from the plurality of sensors (104). Analyses real-time data to make decisions about the deployment of the auxiliary tires (108). The solenoid actuated assembly (114) may be driven by solenoids to deploy or retract the auxiliary tires (108). The solenoid actuated assembly (114) may be configured to actuate the tires (108) based on commands or control signals from the controller (110), ensuring precise and timely deployment. The commands or control signals may be generated based on the identified patterns. For instance, if ground clearance is sufficient, the auxiliary tires remain retracted; if clearance is limited, the auxiliary tires deploy partially; and if clearance is critically low, the auxiliary tires fully deploy. The auxiliary tires (108), approximately one-fourth the size of the main vehicle wheels, provide trailing and load-bearing support. A manual override system (the relay (118)) that allows the driver to deploy or retract the auxiliary tires (108). The relay (118) can provide additional control for the driver in specific situations where manual intervention is preferable.
[00042] In an exemplary embodiment, the working process of the vehicle undercarriage protection system (102) begins with real-time data collection, where a plurality of sensors (104) are deployed to monitor key parameters. Load cells (104-1) measure the vehicle's load, while ground clearance sensors (104-2) track the distance between the undercarriage and the road. Additionally, infrared sensors (104-3) detect obstacles and provide precise clearance data. The real-time data is then transmitted in real-time to the control unit (110) for further analysis. During data analysis, the control unit (110) processes the incoming data to assess the vehicle's load, ground clearance, and proximity to any obstacles. Based on this analysis, the control unit (104) decides on whether to deploy the auxiliary tires (108) and determines the appropriate extent of deployment based on the severity of the road conditions or obstacles.
[00043] In the tire deployment phase, if the control unit (110) decides that deployment is necessary, it sends a control signal to the solenoid-actuated assembly (114). The solenoid-actuated assembly (114) precisely lowers the auxiliary tires (108) to the required level, ensuring optimal support as the vehicle encounters challenging terrain or obstacles. Once the tires (108) are deployed, the system (102) enters the load management phase, where the auxiliary tires (108) provide additional support by effectively distributing the vehicle's load, thereby preventing undercarriage damage. The system (108) is dynamic, continuously monitoring and adjusting the tire deployment in real-time as the vehicle moves, ensuring that the undercarriage remains protected regardless of changing road conditions.
[00044] The process begins with ground clearance sensors checking for ground clearance. If ground clearance is detected, the solenoid actuator switch is activated; if not, the system loops back to recheck the ground clearance sensors. Next, the infrared sensors check for ground clearance. Upon detection, the actuator is engaged; if ground clearance is not sensed, the system loops back to repeat the check with the infrared sensors. After crossing a bump, the photoelectric sensors check for ground clearance once more. If clearance is detected, the solenoid actuator switch is turned off; if not, the system continues to loop back to the photoelectric sensors until clearance is confirmed. Finally, the system resets or becomes ready for the next cycle.
Example scenarios:
[00045] In an example, a fully loaded vehicle approaches a speed bump. As the vehicle nears the obstacle, sensors detect the bump, low ground clearance, and the proximity of the obstacle. Based on this data, the controller may analyse the situation and decides to partially deploy the auxiliary tires. The tires are then deployed, slightly lifting the undercarriage to ensure that the vehicle can pass over the speed bump without incurring any damage. Once the vehicle clears the bump, the tires retract to their normal position, maintaining vehicle efficiency and ride comfort.
[00046] In another scenario, the vehicle navigates a rough, uneven road with multiple obstacles. Throughout this process, sensors continuously monitor the terrain, the vehicle's load, and the proximity of nearby obstacles. The controller dynamically adjusts the deployment of the auxiliary tires in real time, based on the conditions it observes. The tires deploy and retract as needed, providing optimal protection and support as the vehicle moves over the rough terrain. This allows the vehicle to traverse the difficult road without any damage to its undercarriage, even in challenging conditions.
[00047] In another example, the driver manually activates the auxiliary tire deployment when they notice that the vehicle is heavily loaded and approaching an uneven surface. By manually engaging the system, the driver deploys the auxiliary tires to provide additional support and better load distribution. As a result, the vehicle passes over the uneven surface with enhanced stability and undercarriage protection, offering a smooth and safe driving experience. By integrating advanced sensor technology, a dedicated controller, and a sophisticated deployment mechanism, this system provides a robust solution for undercarriage protection. It effectively addresses the limitations of existing technologies, offering improved vehicle safety and performance across various driving conditions.
[00048] FIG. 3 illustrates a flow diagram illustrating a method for facilitating vehicle undercarriage protection, in accordance with an embodiment of the present disclosure.
[00049] As illustrated, method (300) includes, at block (302), monitoring and detecting real-time data of an environment by a plurality of sensors.
[00050] Continuing further, method (300) includes, at block (304), receiving the real-time data by a control unit from the plurality of sensors.
[00051] Continuing further, method (300) includes, at block (306), analysing the real-time data using pre-stored machine learning models and identifying patterns based on the real-time data, where the pre-stored machine learning models trained on historical vehicle and environmental data.
[00052] Continuing further, method (300) includes, at block (308), triggering at least one operation based on the identified patterns to optimize vehicle undercarriage protection and load management, where the at least one operation can include at least one of a controlled deployment of the plurality of auxiliary tires, or retraction of the plurality of auxiliary tires.
[00053] In an exemplary embodiment, the operation of the undercarriage protection system begins with the auxiliary tires retracted during normal driving conditions. Sensors continuously monitor ground clearance, vehicle load, and obstacle proximity, but no operation is taken as long as the road conditions remain favourable. When the sensors detect an approaching obstacle, such as a speed bump or uneven surface, the data is sent to the controller for analysis. The controller evaluates the ground clearance and obstacle proximity, determining whether auxiliary tire deployment is necessary. If the ground clearance is low or an obstacle is detected, the solenoid actuators partially deploy the tires to offer some protection. In cases of extremely low clearance or when the obstacle is very close, the controller may command a full deployment of the auxiliary tires to provide maximum support and protection. After the obstacle is cleared, the sensors reassess the situation, and if the ground clearance returns to normal and no further obstacles are detected, the controller retracts the auxiliary tires. Additionally, the system allows the driver to manually override the automatic controls, giving them the ability to deploy or retract the auxiliary tires as needed using a manual control.
[00054] If the specification states a component or feature "may", "can", "could", or "might" be included or have a characteristic, that particular component or feature is not required to be included or have the characteristic.
[00055] As used in the description herein and throughout the claims that follow, the meaning of "a," "an," and "the" includes plural reference unless the context clearly dictates otherwise. Also, as used in the description herein, the meaning of "in" includes "in" and "on" unless the context clearly dictates otherwise.
[00056] Moreover, in interpreting the specification, all terms should be interpreted in the broadest possible manner consistent with the context. In particular, the terms "comprises" and "comprising" should be interpreted as referring to elements, components, or steps in a non-exclusive manner, indicating that the referenced elements, components, or steps may be present, or utilized, or combined with other elements, components, or steps that are not expressly referenced. Where the specification claims refer to at least one of something selected from the group consisting of A, B, C ….and N, the text should be interpreted as requiring only one element from the group, not A plus N, or B plus N, etc.
[00057] While the foregoing describes various embodiments of the proposed disclosure, other and further embodiments of the proposed disclosure may be devised without departing from the basic scope thereof. The scope of the proposed disclosure is determined by the claims that follow. The proposed disclosure is not limited to the described embodiments, versions or examples, which are included to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.

ADVANTAGES OF THE PRESENT DISCLOSURE
[00058] The present disclosure provides a vehicle undercarriage protection system to prevent undercarriage damage from speed bumps and uneven surfaces encountered on a road.
[00059] The present disclosure provides a vehicle undercarriage protection system and a method that utilizes a solenoid-actuated assembly that is easier to maintain and more reliable over time.
[00060] The present disclosure provides a vehicle undercarriage protection system and the method that provides targeted protection specifically for the vehicle's central undercarriage, where the risk of damage from speed bumps and obstacles is highest.
[00061] The present disclosure provides a vehicle undercarriage protection system and the method that provides auxiliary tires for additional support and load-bearing capability, enhancing protection and load management especially under heavy loads.
[00062] The present disclosure provides a vehicle undercarriage protection system and the method that maintains the vehicle's normal ride height and handling characteristics by only deploying the auxiliary tires when necessary, thus preserving stability.
[00063] The present disclosure provides a vehicle undercarriage protection system and a method that offers a cost-effective solution that can be retrofitted to existing vehicles, making advanced undercarriage protection more accessible.
[00064] The present disclosure provides a vehicle undercarriage protection system and a method that adjusts the deployment of auxiliary tires based on real-time ground clearance data, ensuring optimal protection and clearance under various conditions.
 
, Claims:1. A vehicle undercarriage protection system, the system (102) comprising:
a plurality of sensors (104) configured to monitor and detect real-time data of an environment, wherein the real-time data comprising ground clearance, load distribution, and obstacle proximity;
an auxiliary tire unit (106) comprising a plurality of auxiliary tires (108), wherein the auxiliary tire unit facilitates to deploy or retract the auxiliary tires (108) based on the real-time data;
a control unit (110); and
a memory (112) coupled to the control unit(110), said memory (112) having instructions executable by the control unit (110) to:
receive the real-time data detected using the plurality of sensors (104);
analyse the real-time data using pre-stored machine learning models and identify patterns based on the real-time data, wherein the pre-stored machine learning models trained on historical vehicle and environmental data; and
trigger at least one operation based on the identified patterns to optimize vehicle undercarriage protection and load management, wherein the at least one operation comprising at least one of a controlled deployment of the plurality of auxiliary tires (108), or retraction of the plurality of auxiliary tires (108).

2. The system as claimed in claim 1, wherein the control unit (110) configured to determine the extent of deployment of the auxiliary tires (108) using the pre-stored machine learning models based on the identified patterns,
wherein the patterns comprising ground clearance patterns, load distribution shifts, or obstacle proximity patterns,
wherein the pre-stored machine learning models are configured to predict the deployment of the plurality of auxiliary tires (108) by recognizing the patterns that indicate the need for additional vehicle protection or load management.

3. The system as claimed in claim 1, wherein the system (102) comprising a solenoid-actuated assembly (114) operatively coupled to the control unit (110),
wherein the control unit (110) configured to actuate the solenoid-actuated assembly (114) for the controlled deployment or retraction of the plurality of auxiliary tires (108) in response to the identified patterns.

4. The system as claimed in claim 1, wherein the system (102) comprising an auxiliary suspension assembly (116) for the plurality of auxiliary tires (108) to ensure smooth and effective operation of the deployment and retraction of the plurality auxiliary tires (108).

5. The system as claimed in claim 1, wherein the plurality of sensors (104) comprising a plurality of load cells (104-1), a plurality of ground clearance sensors (104-2), a plurality of infrared sensors (104-3), or a plurality of photoelectric sensors (104-4).

6. The system as claimed in claim 1, wherein the historical vehicle and environmental data comprising minimum and maximum safe ground clearance values, load distribution tolerances based on different vehicle weights and configurations, or obstacle proximity limits applicable to different terrains.

7. The system as claimed in claim 1, wherein the system (102) comprising a relay (118) operatively coupled to the control unit (110),
wherein the relay (118) configured to allow at least one user to override the automatic deployment of the plurality of auxiliary tires (108) in specific situations where manual intervention is preferred,
wherein the specific situations pertain to weather-related conditions or emergency situations.

8. The system as claimed in claim 1, wherein the plurality of auxiliary tires (108) configured to provide trailing and load-bearing support and prevent vehicle undercarriage damage from speed bumps, rough terrain, and obstacles for enhancing vehicle safety and performance.

9. The system as claimed in claim 1, wherein the environment pertains to paved roads, unpaved roads, rough terrain, speed bumps, obstacles, curbs, or large rocks.

10. A method for vehicle undercarriage protection, the method (300) comprising:
monitoring and detecting (302), real-time data of an environment by a plurality of sensors;
receiving (304), the real-time data by a control unit detected from the plurality of sensors (104);
analysing (306), the real-time data using pre-stored machine learning models and identifying patterns based on the real-time data, wherein the pre-stored machine learning models trained on historical vehicle and environmental data; and
triggering (308), at least one operation based on the identified patterns to optimize vehicle undercarriage protection and load management, wherein the at least one operation comprising at least one of a controlled deployment of the plurality of auxiliary tires (108), or retraction of the plurality of auxiliary tires (108).

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