Abstract: An AI-connected-electrified (ACE) heavy truck system equipped with an intelligent multi-mode hybrid (iMMH) powertrain system and a vehicle supervision control strategy based on machine learning (ML) or reinforcement learning (RL) paradigm are presented. This system ensures industry-leading power and braking performance of the ACE heavy truck while automatically optimizes both energy saving and emission reduction based on the vehicle's dynamic driving data and 3D electronic map information of roads for any transport event. In this application, the conventional analog electronic control (AEC) method is replaced by a novel digital pulse control (DPC) method on the instantaneous power function of the engine. The DPC method converts the complex surface working conditions of the AEC engine of the hybrid vehicles into simpler pre-defined working condition lines of the DPC engine.

Abstract: A dual-motor mixed-hybrid powertrain system, by performing digital pulse control (DPC) on the instantaneous power time-varying functions of an engine and a battery pack, can convert the complex surface-working-condition of an analog-electronic-control (AEC) engine in the existing technology into a simpler pre-defined line-working-condition of a DPC engine, multiplexing in time either a pre-defined high-state line-working-condition in the combustion high-efficiency zone or a pre-defined non-combustion low-state line-working-condition with zero fuel consumption and zero pollutant emissions, achieving decoupling between a DPC engine working condition and the overall vehicle working condition and decoupling between software and hardware of a hybrid powertrain.

Abstract: A dual-motor mixed-hybrid powertrain system, by performing pulse modulation control, i.e., series-hybrid intelligent start-stop control or parallel-hybrid intelligent power switching control, on the instantaneous power time-varying functions of an engine and a battery pack, can convert the surface working condition of an analog electric control engine into a simpler line working condition of a digital pulse control (DPC) engine, either a pre-determined high-state line working condition in the high-efficiency combustion area or a pre-determined non-combustion low-state line working condition with zero fuel consumption and zero pollutant emissions multiplexed in time.

Abstract: A dual-motor mixed-hybrid powertrain system, by performing pulse modulation control, i.e., series-hybrid intelligent start-stop control or parallel-hybrid intelligent power switching control, on the instantaneous power time-varying functions of an engine and a battery pack, can convert the surface working condition of an analog electric control engine into a simpler line working condition of a digital pulse control (DPC) engine, either a pre-determined high-state line working condition in the high-efficiency combustion area or a pre-determined non-combustion low-state line working condition with zero fuel consumption and zero pollutant emissions multiplexed in time.

Abstract: A Level IV fuel-saving robot system for heavy-duty trucks (HDT) focuses on the minimization of actual fuel consumption (L/100 km) for long-haul freight based on an electrical power split device and a mixed hybrid powertrain architecture. The Level IV fuel-saving robot has an L4 autonomous driving function within the Operational Design Domain (ODD) of expressways, operates in a “shadow mode” or “Disengagement Mode,” automatically generates a discrepancy report or detachment report, completes the “3R” (Real Vehicle, Real Road, Real Payload) batch validation for an L4 system on a billion mile scale quickly with high performance to cost ratio under the condition of ensuring the traffic safety of existing road users and reduces the total validation expense by more than 65% compared with the modern HDT with internal combustion engine equipped with the L4 system, promoting the early commercialization of the fuel-saving robot.

Abstract: A Level IV fuel-saving robot system for ACE HDTs of the present disclosure focuses on the minimization of actual fuel consumption (L/100 km) for long-haul freight at first based on an electrical power split device (ePSD) and a mixed hybrid powertrain architecture.

Abstract: An ACE heavy truck fuel saving system provided by the present disclosure is based on a double-motor mixed hybrid powertrain system architecture, especially an electrical power split device.

Abstract: A Level IV fuel-saving robot system for ACE HDTs of the present disclosure focuses on the minimization of actual fuel consumption (L/100 km) for long-haul freight at first based on an electrical power split device (cPSD) and a mixed hybrid powertrain architecture. A basic model Level I fuel-saving robot realizes a longitudinal L1 automatic driving function through a predictive adaptive cruise (PACC) technology within an Operational Design Domain (ODD) for highways and reduces the actual fuel consumption of an ACE HDT by more than 20% compared with modern diesel HDTs, and the energy-saving and emission-reducing effect of the basic model Level I fuel-saving robot is decoupled from both the technical level of a vehicle engine and the driving level of a driver; an advanced Level IV fuel-saving robot has a IA automatic driving function within the ODD for highways, operates in a “shadow mode” or “detached mode”, automatically generates a discrepancy report or detachment report, completes the “3R.

Abstract: The disclosure provides a fuel saving robot system of mixed hybrid heavy duty trucks mainly for long haul logistics on highways.

Abstract: The invention provides a brake assist and retarder system for hybrid commercial vehicles. The system is mainly specific to the application scenarios of long-distance transport for large commercial vehicles (trucks or buses).

Abstract: A power supply module for a vehicle comprises a battery system (13) including a first output terminal (Out 1) and a second output terminal (Out 2), wherein the battery system (13) is connected with a AC/DC converter (12) of the vehicle, the AC/DC converter (12) includes a DC terminal (DC) and an AC terminal (AC), the DC terminal (DC) is connected with the first output terminal (Out 1) of the battery system (13) and the AC terminal (AC) is connected to a motor generator (11) of the vehicle cooperating with the power supply module (10), so as to form a first output (i1), wherein the second output terminal (Out 2) is connected to a power supply distribution center (17) of the vehicle, so as to form a second output (i2), and wherein the battery system (13) includes a lead-carbon battery. There are also provided a power supply system comprising the power supply module for a vehicle, a vehicle comprising the power supply system for a vehicle, and a method of arranging a power supply module for a vehicle.

Abstract: The embodiment of the invention provides a predictive power control system for hybrid vehicles. The system is mainly specific to the application scenarios of long-distance freight heavy trucks.

Abstract: A power supply module for a vehicle comprises a battery system (13) including a first output terminal (Out 1) and a second output terminal (Out 2), wherein the battery system (13) is connected with a AC/DC converter (12) of the vehicle, the AC/DC converter (12) includes a DC terminal (DC) and an AC terminal (AC), the DC terminal (DC) is connected with the first output terminal (Out 1) of the battery system (13) and the AC terminal (AC) is connected to a motor generator (11) of the vehicle cooperating with the power supply module (10), so as to form a first output (i1), wherein the second output terminal (Out 2) is connected to a power supply distribution center (17) of the vehicle, so as to form a second output (i2), and wherein the battery system (13) includes a lead-carbon battery. There are also provided a power supply system comprising the power supply module for a vehicle, a vehicle comprising the power supply system for a vehicle, and a method of arranging a power supply module for a vehicle.