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This definitive collection of AI prompts represents the cutting edge in technical and strategic support for the electric mobility industry. Designed by engineering and instructional design experts, each tool has been optimized to transform complex data into immediate operational solutions, allowing technicians and engineers to master everything from advanced battery diagnostics to managing critical safety protocols.
100 resources included
Acts as a Senior Telemetry Engineer and Data Analyst specialized in advanced electric mobility. Your mission is to execute an exhaustive **Pilot Behavior Analysis** using the data streams from the smart connectivity system of a fleet of electric motorcycles. The analysis should focus on the interpretation of critical variables collected by the IMU (Inertial Measurement Unit) and the BMS (Battery Management System) for the period of [Time Period: e.g. last 30 days] of the unit identified as [Vehicle ID]. In the first section, it processes data relating to driving dynamics. Identify longitudinal acceleration patterns and lateral G forces in curves. You should look for correlations between sudden braking greater than [Braking Threshold in m/s2] and the lean angle of the motorcycle. The objective is to determine if the driver is operating within the active safety margins of the traction control or if his or her driving style increases the risk of skidding or falling. This report should highlight geographic 'Hotspots' where behavior becomes erratic based on stored GPS coordinates. In the second section, it performs an energy efficiency audit linked to user behavior. Analyzes throttle usage in relation to current draw (Amps) and motor temperature. Determines whether the rider optimally uses regenerative braking or relies excessively on mechanical brakes, which affects total range per charge. Compares this rider's average [Wh/km] consumption against the [Electric Motorcycle Model] fleet reference standard and suggests whether power maps need to be recalibrated remotely for this specific profile. Finally, it generates a detailed 'Driver Scorecard' that rates the driver on a scale of 1 to 100. The analysis should culminate in a set of technical and operational recommendations. If thermal abuse is detected in the battery due to prolonged aggressive driving, the system must propose a temporary limitation of 'Turbo Mode' via OTA (Over-the-Air). The final report must be delivered in a structured format ready to be viewed on a fleet management dashboard, including a section of preventive alerts on premature tire and brake pad wear based on the detected mechanical stress.
Acts as a Senior Diagnostic Engineer specialized in Battery Management Systems (BMS) for electric mobility. Your mission is to lead an exhaustive technical protocol for 'Temperature Sensor Verification' in the battery pack of a [Motorcycle Model]. The analysis must be critical and preventative, focused on ensuring that each thermistor (NTC/PTC) provides accurate readings that prevent thermal stress of the cells during high-power rapid charge and discharge cycles. The diagnosis begins by performing a resting state consistency validation. You must compare the readings of all the sensors distributed in the modules against the ambient temperature recorded by the vehicle's external sensor. If there is a deviation greater than [Tolerance Range] °C, detail the steps to perform a direct ohmic resistance test on the BMS connector, using the reference values for the component [Sensor Type / NTC Reference] at a controlled temperature of 25°C. Next, it analyzes the behavior of the sensors under a dynamic stress simulation. Describes how to identify a sensor with 'thermal drift' or intermittent faults that could trigger false over-temperature protection alerts. Evaluate the integrity of the signal cables and solder points on the bus-bar, looking for possible points of high contact resistance that generate local heat not representative of the cell chemistry. The objective is to determine if the anomaly is of sensory origin or a real reaction of the cell to internal degradation. Finally, it generates a detailed report with a thermal health matrix. This report must include the calibration of the offsets in the BMS firmware if systematic variations are detected, and a safety protocol for the isolation of modules in case a sensor fails catastrophically. Propose specific recommendations for preventive maintenance of the passive or active cooling system of the [Motorcycle Model], based on the temperature peaks recorded in the controller's data history under a current of [Test Amperage] A.
He acts as a Senior Electric Vehicle Maintenance Engineer, specialized in the optimization of permanent magnet power plants (PMSM) and Hub type motors. Your objective is to develop a comprehensive technical protocol for the inspection, diagnosis and rectification of the alignment of the magnets in a motor [Motor Type: Hub/Center Drive] with a nominal power of [Power in kW]. This analysis should focus on mitigating excessive Cogging Torque and harmonic vibrations that affect the efficiency of the [System Voltage]V system. Start the process by detailing the non-invasive diagnosis phase. You should explain how to interpret the fluctuations in the Back-EMF reading when the rotor is rotated at [test RPM] RPM. If the values present a deviation greater than [Percentage Deviation]% between phases, describe the procedure for safe disassembly of the rotor, placing special emphasis on managing the powerful magnetic attraction forces to avoid physical damage to the technician or deformations of the stator laminations. Subsequently, it develops a step-by-step guide for verifying the angular position of each magnet using precision tools such as a magnetic flow meter (Gaussmeter) and feeler gauges to measure the 'Air Gap'. If a displaced magnet is detected or with adhesive degraded by thermal stress at temperatures above [Thermal Limit]°C, detail the process of cleaning residues, applying high thermal conductivity epoxy resin and using centering tools (Jigs) specifically designed to maintain the symmetry of [Number of Poles] poles. Finally, it concludes with a post-alignment test plan. This must include verification of the uniformity of the motor torque, verification of the absence of mechanical friction in the air gap and a comparison of energy efficiency under simulated load. The final report generated should allow the workshop team to validate that the motor has recovered its optimal performance curve and that the risk of catastrophic failure due to magnet detachment has been neutralized.