Hyundai Ioniq (AE): Fuel Delivery System / Filler-Neck Assembly. Repair procedures

Hyundai Ioniq (AE) 2017-2022 Service & Repair Manual / Engine Control/Fuel System / Fuel Delivery System / Filler-Neck Assembly. Repair procedures

Removal
1.
Turn the ignition seitch OFF and disconnect the battery negative (-) cable.
2.
Open the fuel filler door and then remove the filler-neck installation screw (A).

3.
Lift the vehicle.
4.
Remove the rear-LH wheel, tire, and the inner wheel house.
5.
Disconnect the fuel filler hose (A) and the leveling hose (B).
6.
Disconnect the vent tube quick-connector (C).

7.
Remove the filler-neck assembly from the vehicle after removing the bracket installation bolt (A).

Installation
1.
Install in the reverse order of removal.
Filler-neck assembly installation bolt :
7.8 - 11.8 N.m (0.8 - 1.2 kgf.m, 5.8 - 8.7 lb-ft)

    Removal1.Release the residual pressure in fuel line. (Refer to Fuel Delivery System - "Release Residual Pressure in Fuel Line")2.Turn the ignition switch OFF, and then remove battery (-) cable.

    Removal 1.Turn the ignition seitch OFF and disconnect the battery negative (-) cable. 2.Disconnect the accelerator position snesor connector (A).3.Remove the installation nut (A), and then remove the accelerator pedal module.

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    Hyundai Ioniq (AE) 2017-2022 Service & Repair Manual: Front View Camera Unit. Repair procedures

    Removal1.Disconnect the negative (-) battery terminal.2.Remove the front view camera cover (A).3.Disconnect the front view camera connector (A).4.Remove the front view camera after disengaging the mounting bracket (A).Installation1.Align front view camera with windshield bracket using forward edge point (A).

    Hyundai Ioniq (AE) 2017-2022 Service & Repair Manual: Front Radar Unit. Description and operation

    DescriptionThe smart cruise control unit is installed on the front right side of the chassis. A radar sensor is embedded in the front section of the unit. This sensor detects vehicles and objects in front of the vehicle. The radar sensor can detect up to 64 objects ahead of a vehicle.

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