Vehículos Inteligentes
Your idea is the base of innovation, our expertise and know-how take it to the next step by integrating into your vehicle the latest in disruptive technology.
No matter if production-based, proof-of-concept, R&D+i development or turnkey project, at EEVAM we take a step further towards smart solutions.
OUR SUCCESS CASES:
Blindspot detection and lane change assist system based on radar technology
Radar-based vehicle and pedestrian detection system for electric motorcycle.
Sensors integrated into the rear frame with visual alert LEDs and haptic communication built into the handlebar offering several vibration patterns.
Firmware tuning to assure optimum interaction with telematic unit.
Accident notification system through intelligent algorithm technology
Accident detection algorithm through signal gathering and processing from onboard elements such as the GPS, spedometer, gyroscope and accelerometer.
Distinction between common activity, fall, minor and severe accident is set before engaging the authority-notification system granting the shortest response time.
Motorcycle theft/fall detection and tracking
Unwanted movement alert system using a gyroscope and accelerometer from an IMU aswell as the GPS and power signals.
Vehicle location and status notification to the owner using phone app.
Haptic communication system through handlebar vibration patterns
Haptic communication unit integrated into the handlebar using customizable vibration patterns to represent diferent alerts such as blindspot, lane-changing and crash detection.
Sistemas steer-by-wire
Control algorithm designed to command a set of four directional and traction-capable wheels from a steering wheel input.
The system allows the vehicle to rotate on its own axis, turn with a lower radius and drive omnidirectionally.
ECU development with smart power distribution
ECU-remapping used to achieve the desired dynamic response through the design and programming of a custom ECU.
Driver interface integration to allow selection between different driving modes and response levels.
Bench and track testing to verify all onboard systems and fine-tune based on feedback.
Torque control algorithms for traction control
Development of a control algorithm that reads throttle input and axis rotation speed to calculate through the torque-rpm curve the correct amount of needed power without exceeding the safety limits in parameters such as voltage, current and system temperature.
Smart power distribution algorithms
Design of control and power adaptation algorithms for an electric powertrain using sensoring data to enhance vehicle performance, range and battery health.
Optimization of battery module discharge rates through complex current distribution techniques.
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