US 10,479,298 B2Granted

Intelligent determination and usage of energy in energy systems

AssigneeMahindra Electric Mobility Limited

InventorsChetan Kumar Maini, Prakash Ramaraju, Vinten D Diwakar, Pallavi Kar, Kartik Gopal, Nagendra Babu Sathyanarayana

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Abstract

Disclosed herein are a method and a system for automatic and intelligent determination and usage of internal reserve energy in an energy system associated with a vehicle. The system processes pre-configured inputs and inputs collected in real time, generates a distribution optimization profile which possesses information on values of different control parameters required to keep selected components operational, by considering energy availability in the energy storage system. Further, the system distributes energy to selected components, based on the distribution optimization profile. Further, the system verifies whether the selected distribution optimization profile matches a safe use profile and if not, automatically overrides settings associated with the distribution optimization profile to ensure safe driving of the vehicle, with at least a minimum comfort level.

Claims10

Dependent claims

A method for controlling internal reserve energy usage in an energy system, said method comprising:

determining an amount of said internal reserve energy in said energy system, by a reserve energy estimation engine of an energy usage optimization module, wherein said determination of amount of internal reserve energy in said energy system comprises:
determining a capacity of the energy storage system by collecting at least one of a data related to the energy storage system, by said reserve energy estimation engine;
collecting a historical data relating to the energy storage system, by said reserve energy estimation engine;
determining a state of health of the energy storage system based on the collected historical data, by said reserve energy estimation engine;
determining a current state of the energy storage system, by a Mission Priority and Decision Management Engine of said energy usage optimization module;
and
computing the amount of internal reserve energy available below a threshold level based on at least one of the determined capacity, state of health, and current state of the energy storage system by said reserve energy estimation engine;
generating at least an energy distribution mode, by the reserve energy estimation engine, wherein said energy distribution mode comprises an energy estimation for at least one of a propulsion requirement and an auxiliary load requirement;
verifying said generated energy distribution mode, by a mission priority and decision management engine of said energy usage optimization module, wherein said verification of said energy distribution mode comprises:
conducting a safety analysis of said energy distribution mode, wherein when said safety analysis is negative, said generated energy distribution mode is configured to be overridden by at least a default energy distribution mode;
and
verifying the energy distribution mode to be in line with at least a user preference;
calculating a value of at least one parameter associated with said generated energy distribution mode, by a control strategy engine of said energy usage optimization module;
creating a distribution optimization profile, wherein said distribution optimization profile possesses said calculated value of said at least one parameter associated with said generated energy distribution mode, by said reserve energy estimation engine;
and
controlling said energy distribution to at least one component based on said at least one calculated value of said parameter and said distribution optimization profile, by said control strategy engine.

13 more elements

A system for controlling internal reserve energy usage, said system comprising:

an energy usage optimization module including an input/output (I/O) module;
a reserve energy estimation engine;
a mission priority and decision management engine;
a control strategy engine;
a memory module;
and
a battery module interface,
wherein
said Reserve Energy Estimation engine is configured to:
determine an amount of said internal reserve energy in an energy system, wherein said determination further comprises:
determining a capacity of the energy storage system by collecting at least one of a data related to the energy storage system;
collecting a historical data relating to the energy storage system;
determining a state of health of the energy storage system based on the collected historical data;
determining a current state of the energy storage system;
and
computing the amount of internal reserve energy available below a threshold level based on at least one of the determined capacity, the state of health, or the current state of the energy storage system;
and
generate at least an energy distribution mode, wherein said energy distribution mode comprises an energy estimation for at least one of a propulsion requirement or an auxiliary load requirement;
said mission priority and decision management engine is configured to verify said generated energy distribution mode, wherein said verification of generated energy distribution mode comprises:
conducting a safety analysis of said energy distribution mode, wherein when said safety analysis is negative, said generated energy distribution mode is configured to be overridden by at least a default energy distribution mode;
and
verifying the energy distribution mode to be in line with at least a user preference;
said control strategy engine is configured to calculate a value of at least one parameter associated with said generated energy distributed mode,
said reserve energy estimation engine is configured to create a distribution optimization profile, wherein said distribution optimization profile possesses said calculated value of said at least one parameter associated with said generated energy distribution mode;
and
said control strategy engine is configured to control said energy distribution to at least one component based on said at least one calculated value of said parameter.

23 more elements

Dependencies are inferred from the claim text.