Automatic Transmission

GENERAL DESCRIPTION





F4A4B and F5A5A models have been established.

TRANSAXLE
The transaxle is made up of the torque converter and gear train. A 3-element, 1-stage, 2-phase torque converter with built-in torque converter clutch is used. The gear train of F4A4B transaxle consists of 3 sets of multi-disc type clutches, 2 sets of multi-disc type brakes, and 2 sets of planetary gears which are composed of a sun gear, carrier, annulus gear, and pinion gear. Also, the geartrain of F5A5A transaxle consists of 4 sets of multi-disc type clutches, 2 sets of multi-disc type brakes, 1 set of band type brake, 1 set of one-way clutch, and 3 sets of planetary gears which consists of a sun gear, carrier, annulus gear, and pinion.

TRANSAXLE CONFIGURATION DRAWING:

TRANSAXLE CONFIGURATION DRAWING:

COMPONENTS AND FUNCTIONS:

FUNCTION ELEMENT TABLE <4A/T>:

FUNCTION ELEMENT TABLE <5A/T>:

SECTIONAL VIEW <4A/T>:

SECTIONAL VIEW <5A/T>:

ELECTRONICALLY-CONTROLLED SYSTEM
INVECS-II
^ When in drive (D range), the new automatic transaxle employs an innovative shift schedule to provide a high level of comfort and easy driving style that matches all driving conditions as well as the driver's driving style.

OPTIMUM SELECTION OF GEARS:

^ INVECS-II features Optimum Shift Control, which provides shift timing the average driver perceives to be the optimum timing under any road conditions. Adaptive Shift Control adjusts shift timing to match the driving habits and preferences of individual drivers.

FEATURES
OPTIMUM SHIFT CONTROL

OPTIMUM CONTROL:

1. The shift patterns found satisfying by the typical driver for all ranges of driving are stored in the computer's memory. The computer uses this data to analyze road conditions and the driver's style of operation, and then sends the optimal shift patterns stored in its memory to best match the conditions.

NEURAL NETWORK:

2. We introduce the latest control technologies with an innovative new algorithm called the neural network that works to imitate the decision-making processes of the human brain. The neural network links a wide variety of input data regarding road and operating conditions, and instantly makes accurate shift control decisions.

ADAPTIVE SHIFT CONTROL
1. The computer learns the driving habits and preferences of each individual driver by processing driving data on engine output, tire load, foot brake operation, etc. It then uses this data to adjust shift timing to best suit the driver's style.

ADAPTIVE SHIFT CONTROL DURING ACCELERATION:

2. If the computer determines from the driving patterns that the driver is one who enjoys a relaxed, unhurried style, it adjusts timing to execute upshifts at a lower engine speed to provide a smooth, quiet ride. On the other hand, if the computer determines the driver to prefer a sporty ride, it adjusts timing to shift up at a higher engine speed to provide more powerful response.

ADAPTIVE SHIFT CONTROL ON DOWNGRADES:

3. If the computer determines that the driver tends to apply the brakes often on a descending roadway, it adjusts timing to down shift sooner so that engine braking is more effectively applied. Conversely, if the computer determines that the driver does not brake much while driving downhill, it delays downshifting to minimize the effect of engine braking.

SYSTEM CONSTRUCTION DIAGRAM:

SHIFT PATTERN CONTROL:

SHIFT PATTERN CONTROL:

TORQUE CONVERTER CLUTCH CONTROL:

TORQUE CONVERTER CLUTCH CONTROL: