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Journal ArticleDOI

Regenerative braking algorithm for an ISG HEV based on regenerative torque optimization

TLDR
In this article, a regenerative braking algorithm based on regenerative torque optimization with emulate engine compression braking (EECB) was proposed to make effective and maximum use of brake energy in order to improve fuel economy.
Abstract
A novel regenerative braking algorithm based on regenerative torque optimization with emulate engine compression braking (EECB) was proposed to make effective and maximum use of brake energy in order to improve fuel economy. The actual brake oil pressure of driving wheel which is reduced by the amount of the regenerative braking force is supplied from the electronic hydraulic brake system. Regenerative torque optimization maximizes the actual regenerative power recuperation by energy storage component, and EECB is a useful extended type of regenerative braking. The simulation results show that actual regenerative power recuperation for the novel regenerative braking algorithm is more than using conventional one, and life-span of brake disks is prolonged for the novel algorithm.

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Citations
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Journal ArticleDOI

A 42-V Electrical and Hybrid Driving System Based on a Vehicular Waste-Heat Thermoelectric Generator

TL;DR: In this article, an electrical and hybrid driving system was proposed by using an assemblage of a waste-heat thermoelectric generator, a 42-V powernet, and an integrated starter and generator (ISG).
Patent

Method and apparatus for a vehicle control unit (VCU), using current and historical instantaneous power usage data, to determine optimum power settings for a hybrid electric drive system

TL;DR: In this paper, a vehicle control unit (VCU) and method for controlling the elements of a hybrid electric drive powered vehicle are disclosed, wherein the VCU uses current and historical route data to determine Instantaneous Power required by each of the elements, and wherein the vehicle VCU controls the instantaneous power used by each element to minimize an amount of hydrocarbon fuel used while the vehicle was being driven, while also maintaining an acceptable battery state of charge and providing vehicle drive power as needed.
Journal ArticleDOI

Multi-objective optimization of the control strategy of electric vehicle electro-hydraulic composite braking system with genetic algorithm

TL;DR: The results show that optimization objectives achieved a good astringency, and the optimized control strategy can increase the brake energy recovery effectively under the condition of ensuring the braking stability.
Journal ArticleDOI

Downshift decision and process optimal control of dual clutch transmission for hybrid electric vehicles under rapid braking condition

TL;DR: The test results demonstrate that the established shift control strategy can achieve the target power downshift under braking conditions, and have a good downshift quality, which lays a foundation for subsequent development and real vehicle tests.
Journal ArticleDOI

Torque control allocation based on constrained optimization with regenerative braking for electric vehicles

TL;DR: In this article, a constrained optimization-based torque control allocation method was proposed to improve energy efficiency, and thus, driving range for electric vehicles, where the cost function was defined not only to achieve desired yaw moment for vehicle handling and stability, but also to minimize power losses for energy efficiency.
References
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Journal ArticleDOI

Iterative learning control of antilock braking of electric and hybrid vehicles

TL;DR: The paper illustrates that the antilock braking of HEV can be easily achieved using iterative learning control for various road conditions.
Journal ArticleDOI

Vehicle Stability Control with Regenerative Braking and Electronic Brake Force Distribution for a Four-Wheel Drive Hybrid Electric Vehicle:

TL;DR: In this article, a fuzzy-rule-based control algorithm is proposed, which generates the direct yaw moment to compensate for the errors of the sideslip angle and yaw rate.
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